BOL: Related items

Post Doc Computational Biology, Bioinformatics - Network Biology & Data Science, NGS (m/f/d)

Sat, 15 Feb 2020 06:13:35 -0600

https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/forschung-entwicklung/post-doc-computational-biology-bioinformatics-network-biology-data-science-ngs-129867.html?suid=e522e9793b41817e52ac58d6963b94e2519920df

Requirements
Doctoral degree in Bioinformatics, Computational Biology, (Bio)physics/-mathematics, Biochemistry/Biology or similar with strong quantitative and numeric focus
Ability to numerically process complex and large data sets
Good programming skills (R/Bioconductor and/or Python preferred, Linux is a plus)
Experience in analyzing next-generation sequencing data sets using network biology
Scientific publication record in applied bioinformatics
Familiarity with single cell NGS analyses and other –omics techniques is a plus, but not essential

Senior Scientist (Bioinformatics/ IT) at Regional Centre for Biotechnology

Tue, 30 Jun 2020 22:04:20 -0500

Regional Centre for Biotechnology

An Institution of National Importance established by Dept. of
Biotechnology, Govt. of India Under the auspices of UNESCO

Advertisement No. RCB/IBDC/01/2020/Recruitment/HR

Recruitment For Contractual Positions Under The Project
Indian Biological Data Centre (IBDC) Phase-1

Regional Centre for Biotechnology (RCB) invites online applications from suitably qualified, dynamic, result-oriented and dedicated candidates for the following positions under the project Indian Biological Data Centre (BIDC) Phase-1 on contract basis:

Industry: Biotechnology

Location: Faridabad (Haryana, India)

Project Head - 1

Senior Scientist (Bioinformatics/ IT) - 1

For other details, visit: www.rcb.res.in. Last date for receipt of online application is 18th July 2020.

Registrar

Regional Centre for Biotechnology
Faridabad-Gurgaon Expressway,
Faridabad - 121001

Research Project Posts for CSIR Project, Delhi

Tue, 27 Aug 2013 04:31:41 -0500

Positions Open For Temporary Research Project Posts for CSIR Project, Delhi
CSIR is looking for bright young candidates to get involved in building algorithms and platforms for large biological data analyses in the areas of comparative genomics, computational workflows, disease association studies, simulating virtual organelles, etc. Anyone who fulfills the eligibility criteria mentioned below may appear for a walk-in interview on 3rd September 2013 at CSIR Headquarters, Anusandhan Bhawan, 2 Rafi Marg, Delhi – 110001.
you can go to link for details or download PDF

http://www.csir.res.in/External/Heads/aboutcsir/announcements/ProjectPost_130813.pdf

Bioinformatics Scientist/Research Software Engineer at University of Dundee Dundee, United Kingdom

Wed, 26 Aug 2020 10:31:25 -0500

We are recruiting for an exceptional individual to join us as a computational scientist, bioinformatician, or (research) software engineer with an interest in interactive data analysis platforms for biology and medicine within our Jalview (www.jalview.org) research software engineering team.

More at https://www.jobs.dundee.ac.uk/fe/tpl_uod01.asp?s=4A515F4E5A565B1A&jobid=104342,2382988671&key=147934117&c=99413415238921&pagestamp=sesxbbuyifokdsfygf

Last date: 30th August 2020

Informal enquiries about this position may be made to Prof. Geoff Barton (gjbarton@dundee.ac.uk) or Dr Jim Procter (jprocter@dundee.ac.uk). To find out more about Jalview research software engineering team please visit www.jalview.org and www.compbio.dundee.ac.uk

Bioinformatics Algorithm Demonstrations and Tutorials

Jitendra Narayan — Thu, 29 Aug 2013 09:23:51 -0500

Abstract

This project presents demonstrations of selected computer science algorithms important in bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an interesting platform for demonstration of algorithms, since various steps of the calculations can be exposed in a manner that is easily comprehensible to users with little programming experience. The algorithms demonstrated include two approaches to approximate string matching (dynamic programming and Shift-AND numeric approximate matching), Hierarchical Clustering (used in phylogenetic studies and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene expression data, and a simple Neural Network. These demonstrations are designed to serve as instructional aids in bioinformatics courses.

Tutorial @ http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsInExcel.zip

One of the best resource for online bioinformatics learning is https://stepic.org/Bioinformatics-Algorithms-2 Enjoy the online learning.

Reference : cybertory

" Please add your favourite bioinformatics algorithms and tutorial links below in the comment section, for the benefit of bioinformatics and computational biology community ".

Address of the bookmark: http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf

Two Faculty Positions at National Taiwan University, Taipei, Taiwan

Thu, 22 Oct 2020 04:53:12 -0500

The Department of Agronomy at National Taiwan University, Taipei, Taiwan,
invites applications for two full-time faculty positions beginning August
1, 2021 at the rank of Assistant Professor, Associate Professor or
Professor in Biometry and Bioinformatics and Plant Breeding and Genetics,
respectively.

A qualified candidate should hold a Ph.D. in a relevant field including
Agronomy, Statistics, Bioinformatics, Plant Breeding, Plant Genetics or
Quantitative Genetics. For the position in Biometry and Bioinformatics, the
applicants capable of teaching fundamental statistics/bioinformatics
courses or with experience in crop science are preferable; for Plant
Breeding and Genetics, the applicants capable of teaching fundamental plant
breeding courses, with experience in crop breeding, or training in
quantitative genetics are preferred.

The application package should include two letters of reference and five
printed copies of the following documents (1) curriculum vitae, (2)
publication list, (3) undergraduate and graduate transcripts if applying
for the Assistant Professorship, (4) a photocopy of the Ph.D. diploma, (5)
teaching plan and course outline or syllabus (6) research proposal, (7) a
cover letter indicating the rank to apply, and one representative original
research article which was published by the applicant being the 1st or
corresponding author in an SCI peer-reviewed journal within 5 years (after
August 1, 2016); a copy of doctoral dissertation can be the representative
article if applying for the Assistant Professorship; (8) reprints of the
selected publications published within 7 years (after August 1, 2014).

The application package should mail to the Chair, Dr. Li-yu Daisy Liu
(lyliu@ntu.edu.tw), in the Department of Agronomy, National Taiwan
University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan, before
December 15, 2020 for full consideration.

4273π: Bioinformatics education on low cost ARM hardware

Jitendra Narayan — Mon, 02 Sep 2013 07:02:43 -0500

Are you teaching bioinformatics at universities and found it complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. Hmm don't worry there is one new OS for the rescue. 4273π, an operating system image for Raspberry Pi based on Raspbian Linux. It provides an attractive, general-purpose computing environment, within which the course 4273π Bioinformatics for Biologists is embedded.

Though far slower than current desktop and laptop computers, the Raspberry Pi is notably faster than the Cray 1 supercomputer, a marvel of computer speed in its day. The Raspberry Pi approach includes all the benefits of the laptop approach, above, but at lower cost. In addition, the Raspberry Pi is a new and exciting computer system, which in itself can add interest to the course.

As the Raspbian operating system, Raspberry Pi firmware and hardware and 4273π Bioinformatics for Biologists teaching material develop, further releases of 4273π will be made available. It is anticipated that there will be a minimum of two releases per year during the next four years.

4273π is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost.

Descriptive paper @ http://www.biomedcentral.com/1471-2105/14/243

Image source: BMC Bioinformatics

Edanchin Lab

Thu, 19 Nov 2020 08:00:07 -0600

My main topics of interest are:

The impact of non tree-like evolution such as horizontal gene transfers and hybridization on species biology
Evolution and adaptation of animals in the absence of sexual reproduction and the underlying mechanisms
Genomic signatures of adaptation to a parasitic life-style

More at https://edanchin.org/

Huber Lab

Mon, 09 Sep 2013 21:57:03 -0500

The Huber group develops computational and statistical methods to design and analyse novel experimental approaches in genetics and cell biology.

Future projects and goals

Large-scale systematic maps of gene-gene and gene-environment interactions by automated phenotyping, using image analysis, machine learning, sparse model building and causal inference.
DNA-, RNA- and ChIP-Seq and their applications to gene expression regulation: statistical and computational foundations.
Cancer genomics, genomes as biomarkers, cancer phylogeny.
Image analysis for systems biology: measuring the dynamics of cell cycle and of cell migration of individual cells under normal conditions and many different perturbations (RNAi, drugs).

More @ http://www.embl.de/research/units/genome_biology/huber/index.html

Introduction to Bioinformatics and Computational Biology

Jit — Mon, 25 Jan 2021 01:32:30 -0600

This is the course material for STAT115/215 BIO/BST282 at Harvard University.

Xiaole Shirley Liu (lead instructor)
Joshua Starmer
Martin Hemberg
Ting Wang
Feng Yue

Ming Tang
Yang Liu
Jack Kang
Scarlett Ge
Jiazhen Rong
Phillip Nicol
Maartin De Vries

We thank many colleagues in the community, who helped Dr. Liu in prepare the STAT115/215 BIO/BST282 course over the years.

Address of the bookmark: https://liulab-dfci.github.io/bioinfo-combio/