Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco.

Address of the bookmark: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

These are just a scant few of the common questions asked by bioinformatics students as they ready themselves for the next exam sitting. If you read the entire Syllabus (and I know that everyone does), you will see a section devoted to study and exam techniques. The section discusses such broad concepts as motivation, scheduling, and retention. Upon reading this section, however, I find the "hints" to be too general. Much of the advice boils down to read, study, understand, and memorize the material. The techniques mentioned apply to everyone and thus the overall advice ends up as a broad overview of the learning process.

The idea behind this article is to give students ideas on different approaches and techniques in the preparation for exams. By providing various ways to prepare for the exam process, fascinated readers may gain some additional insight to help complement their studying methodology. There are, of course, many common themes expressed in this small empirical sample of students' study habits. The idea of note cards, memorization, and problem solving are frequently mentioned by all students. No matter what technique a candidate uses, it always takes a significant amount of time and personal resources to successfully complete the examination process.

1 Explain it in your own word

Your teacher or lecturer can explain something to you, you can learn it from a text book, your friends can study with you, even your own notes can explain it to you but all these explanations are of little use if, by the end, you can’t explain what you have learned to yourself. The BINC exam looking for ability to write and explain the concept in your own word. You, therefore, need to illustrate in an exam to get top exam results, then you won’t be happy with your end exam result. So don’t just memorise and tick off the list – make sure you understand your theory.

2 Be an examiner yourself

Of course, depending on what you’re studying, it may be quite difficult to get into a position to understand a concept, theory or other information you need to learn. Ask ‘stupid’ question to yourself and train yourself for the worst! Embrace your curiosity, for as William Arthur Ward said: “Curiosity is the wick in the candle of learning.” Doing so will allow you to fill in the blanks and better prepare you for exams.

3 Quiz yourself

Once you feel you understand topic, it is important to test yourself regularly. Try yourself to replicate exam conditions as much as possible: turn your phone off, don’t talk, time yourself etc. You can set yourself a study quiz or practice exam questions and, so long as you approach it with the right mindset, you can get a very good idea of how much you know. You gain a greater insight into where you stand in relation to what you’ve studied so far.

4 Online study

Keeping the fact that, bioinformatics is ever changing subject, you might need to update yourself on timely basis. Don’t feel obliged to just sit in front of a book with a highlighter; there are many different ways to improve your bioinformatics knowledge. Login and check almost all web servers and keep yourself updated, like how many genomes sequenced, sizes, techniques used, software names etc.

5 Study plan

In order to achieve exam success, you need to know what you want to achieve and focus on. That’s why it is extremely important to set your Study Goals now and outline to yourself what you need to do. With your study goals in mind, you properly need to attention all subjects. It should be broad enough to allow you to add and change aspects but concise enough so you know you’re covering each subject/topic as best you can at this point.

Project: Indo-UK Centre for improvement of Nitrogen use efficiency in wheat Dr. Soma S. Marla, Pr. Scientist (Bioinformatics), Division of Genomic Resources, ICAR, NBPGR, ND.

Qualification: Ph.D. Degree in Computer Sciences/Bioinformatics OR 1. First class Master’s degree in any discipline of Plant Sciences with specialization in Computer Sciences/ Bioinformatics having 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2. NET qualification is essential for the candidates with 3+2 years B.Sc.+ M.Sc. Desirable: Demonstrated experience & skills in database design, management, UNIX OS, in NGS data analysis. Experience substantiated by publications of high quality will be preferred.

No.of Post: 1

Pay Scale: Rs. 40,000 (Ph.D)/ Rs + 30 % HRA; Rs.38,000 ( Masters Degree 0 + 30 % HRA).

Age Limit : below 40 years for RA position
How to apply
Applicants for RA post should send their complete CV (Advance copy of the application may be sent by email to :soma.marla@icar.gov.in or ssmarl@yahoo.com, should enclose the copy of the research publications; one page summary of their achievement relevant to the post applied for; and should enclose two reference letters (one must be from the person with whom worked latest). Shortlisted candidate will be intimated for interview by email.

The candidates who wish to attend the walk-in interview are requested to bring with them five copies of the CV (one copy with photograph) as per the format given below. Also, the candidates should bring the original documents such as degree certificates, marks sheets, publications, thesis, experience certificate etc. for verification.

Date of Interview: 17.8.2016.

More at http://www.nbpgr.ernet.in/Downloadfile.aspx?EntryId=7133

Applications are invited on plain paper from eligible candidates along with biodata and copies of certificates in support of age, qualification and experience for the following position:

Particulars Description

1. Position & No. JRF (Junior Research Fellow) 01

2. Title of the Project Molecular modeling and docking studies on Deguelin and its derivatives with cell cycle arrest, apoptosis and anti-angiogenesis pathway proteins in cancer cell signaling pathway

3. Tenure 3 years

4. Investigator Dr. K. V.Swamy

5. Institute Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Tathawade, Pune 411033.

5. Qualifications/Eligibility

Essential: NET (National Eligibility Test) qualified M. Sc Bioinformatics/ M. Tech Bioinformatics/M. Sc Biotechnology/M. Tech Biotechnology or Graduate degree in Professional course with NET qualification or Post graduation degree in professional course

The following examinations conducted by various Central Government Departments/Agencies are considered as National Eligibility Test (NET).

1. CSIR-UGC-LS
2. GATE (Graduate Aptitude Test in Engineering)
3. JAM (Joint Admission Test)
4. GPAT (Graduate Pharmacy Aptitude Test)
5. BET(Biotechnology Eligibility Test)
6. BINC(Bioinformatics National Consortium)
7. JEST( Joint Entrance Screening Test)
8. JGEEBILS(Joint Graduate Entrance Examination for Biology & Interdisciplinary Life Sciences)
9. NBHM Ph.D scholarship Screening Test
10. ICMR- JRF Entrance Examination
11. AICE (ICAR-All India competitive Examination )
(For all above examinations valid score considered at the time of interview)

Desirable: Knowledge and skills in Bioinformatics tools/ softwares

6. Monthly Emoluments Rs.25,000/ (As per DST-SERB rules)

7. Last date for submission of prescribed application 20/08/2016

Kindly send your applications to “Dr. K. V. Swamy, Asst.Professor, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Survey No. 87/88, Mumbai-Pune Express Way, Tathawade, Pune - 411033, Maharashtra, India”. Highlight the envelope with “Application for post of JRF (Junior Research Fellow)”.

Note: No TA/DA will be paid for attending the interview.

Advertisement: http://careers.dpu.edu.in/Biotech.aspx

a) Scientist-B – UR (2 posts-Bioinformatics) on consolidated salary of Rs.48,000/- pm + HRA

b) Scientist C – UR (1 post -Bioinformatics) on consolidated salary of Rs. 51,000 pm+ HRA

c) Scientist B- UR (2 post-Statistics) on a consolidated salary of Rs.48,000/- pm +HRA

d) Computer Programmer 1 post UR & 1 post SC on a consolidated salary of Rs. 32,500/- pm

e) Research Assistant -UR 1 post on a consolidated salary of Rs. 31,000/- pm

More at https://projectjobs.icmr.org.in/sccbioinformatics/uploads/recruitment/Adv_BMI_24122020.pdf

More at http://www.du.ac.in/du/index.php?mact=News,cntnt01,detail,0&cntnt01articleid=12859&cntnt01returnid=83

Research Associate :
Essential Qualification: Ph.D in Bioinformatics/Biotechnology/Life Science from a reocngised univeristy/institute
Pay: Rs.36000-/- + Admissible 10% HRA per month
Age: Below 35 years

Junior Research Fellow
Essential Qualification: M.Sc in Bioinformatics/Biotechnology/Life Science from a reocngised univeristy/institute
Pay: Rs.18000-/- + per month
Age: Below 35 years

Last date for receving application by mail or post is 08.11.2016

Company Info.
North-Eastern Hill University

Bioinformatics Infrastructure Facility (BIF) Department of RDAP North-Eastern Hill University, Tura Campus Tura-794002, Meghalaya

More at http://www.nehu.ac.in/Advertisements/BIFTuraManpowerAdvt_25102016.pdf

Randomness and probability are two differnet concepts: probaility is a measure (according to measure theory) which measures the randomness. Randomness is the object to be measured by probability. For example, probability is a mapping from randomness to the real number between 0 and 1. The similar examples are that the entropy measures the uncertanity; product of length and width measures the area of rectangle etc.

Please see “A mathematical theory of ability measure” by N. Kong ets for more examples to answer this question.

Date: Nov 11th. 2016 Last Date: Nov 25th. 2016

PROJECT ID: 632

The following posts are urgently required to be filled for the Department of Biotechnology, Government of India funded project entitled "Computational Core for Plant Metabolomics" administrated by Prof Indira Ghosh, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110 067

NB:For all Bioinformatics posts, preference will be given to candidates with a good knowledge of Python and/or R. Knowledge of JAVA will also get a special consideration.

RA / Research Associate (Metabolic engineering/Computational Biologist)

Salary: Rs. 36000/- + HRA
Vacancy: 1
Essential Qualifications: PhD in Bioinformatics /Mathematics/Computer Science with experience in analyzing high throughput omics-based data/ system Biology/ Analysis of Network Biology. Published paper in the field is a must to prove the experience.
Desired Skills: Prior experience in handling and guiding bioinformatics, metabolomics data, planning of new research area in metabolic driven network , managing the project portal, preparing and filing reports etc. Will be expected to communicate with user groups and coordinate with LIMS group in Hyderabad and the Cheminformatics group in Delhi.

RA / Research Associate (Chemo-informatics/Computational Biologist)

Salary: Rs. 36000/- + HRA
Vacancy: 1
Essential Qualifications: PhD in Bioinformatics/ computational biology/ Biophysics/Computer Science. Computational and Chemical structure related experience is a necessary qualification proven by paper published and program developed.
Desired Skills: Research experience in Chemical scaffold mapping, in silico Spectral analysis, Biological Database Designing & Integration is required. Individual is responsible to develop methods related to metabolite identification, Testing and refining and integrate LIMS with IIIT Hyderabad and will be expected to communicate with user groups.

Project SRF (Bioinformatics/Programming)

Salary: As per DBT rules
Vacancy: 1
Essential Qualifications: Masters/B Tech in Basic Sciences with at least 2yrs of research experience in Bioinformatics/Computational Biology related to Database /portal building & maintenance ,high throughput data handling and analysis etc. For M.Sc/B.Tec, Published paper in peer-reviewed Journal and for M.Tech, thesis submission in computational biology is a must.

More at http://www.jnu.ac.in/Career/currentjobs.htm

GoJS offers many advanced features for user interactivity such as drag-and-drop, copy-and-paste, in-place text editing, tooltips, context menus, automatic layouts, templates, data binding and models, transactional state and undo management, palettes, overviews, event handlers, commands, and an extensible tool system for custom operations.

GoJS is pure JavaScript, so users get interactivity without requiring round-trips to servers and without plugins. GoJS normally runs completely in the browser, rendering to an HTML5 Canvas element or SVG without any server-side requirements. GoJS does not depend on any JavaScript libraries or frameworks, so it should work with any HTML or JavaScript framework or with no framework at all.          

More at http://gojs.net/latest/index.html

Address of the bookmark: http://gojs.net/latest/index.html