Details of the Positions and Pay Structure:

03 Posts for Assistant Professor in Molecular Synthesis for Drug Discovery and Development

Essential Qualifications and Requirements:

1. PhD in Synthetic Organic Chemistry/Medicinal Chemistry with research publications in high quality international journals and first class grade at the preceding degree from recognised University/Institute in India or abroad with consistently good academic record.
2. Three Yrs of Post-doctoral experience in relevant area.
3. Below 35 Yrs of age at the time of application

Desirable Experience: Candidates having strong research background in organic synthesis, total synthesis of structurally complex and medicinally important natural products/drugs related to cancer, neurodegenerative diseases (neurotropically active molecules for Alzheimer's, Parkinson’s, dementia etc) and infectious diseases such as malaria, TB etc. will be preferred.

Interested candidates may apply with:

1. Filled up Application Form (download from CBMR Website: http://www.cbmr.res.in) along with the Cover Letter, Curriculum Vitae including academic record (Bachelor degree onwards), awards, honours, list of Publications and reprints of 5 best publications.
2. Proposed research plan (max 3-4 pages).
3. Names and address (with valid e-mail and Phone number) of at least 3 academic referees.
4. Online Payment Receipt with transaction reference no. of Rs. 1000/- (USD 100 or equivalent foreign currency) on following details.
Account Number: 30054847814 Name: Director, Centre of Biomedical Research
Bank: STATE BANK OF INDIA, SGPGI Campus Branch, LUCKNOW

IFSC Code: SBIN0007789
MICR No: 22602034

Applications can be sent by registered/speed post or by e-mail to the following address:

The Director,
Centre of Biomedical Research (CBMR),
Sanjay Gandhi PGI Campus,
Raebareli Road, Lucknow-226014
e-mail: cbmr.admin@cbmr.res.in,
gp.pandey@cbmr.res.in

More Info:

http://www.cbmr.res.in/career/Advertisement%20for%20the%20post%20of%20Professors%20and%20Assistant%20Professors.pdf

Bioinformatics is a rapidly growing field at the intersection of biology, computer science, mathematics, and statistics. As data volumes increase, as well as the diversity of data types (genomics, proteomics, metabolomics, imaging, single‑cell data, etc.), the need for robust computational methods, rigorous models, and reproducible tools has never been greater.

A key decision for researchers is: Where should I publish my work? The choice of journal impacts visibility, peer recognition, and long‑term influence of your research. Below I provide a guide to leading journals in bioinformatics, criteria for selecting the journal that best fits your work, and why these considerations matter.

Leading Journals in Bioinformatics

Criteria to Use When Choosing a Journal

• Scope & Audience
• Impact & Visibility
• Review Time & Speed
• Open Access
• Cost / APCs
• Reputation vs Practical Fit
• Reproducibility, Data & Code Sharing Policies
• Indexing & Reach
• Quality of the field
• Accelerating discovery
• Fair access
• Credibility & trust
• Read recent papers in the journal
• Tailor the manuscript
• Check the author guidelines
• Have backup journals ready
• More emphasis on machine learning / AI
• Single‑cell, spatial omics, multimodal data
• Cloud workflows, reproducible pipelines
• Preprints / open peer review
• Alternative metrics (software use, downloads, community adoption)

Selecting where to publish in bioinformatics isn’t just about prestige; it’s about reaching the right audience, ensuring your work is usable, and contributing to the field responsibly.

We are seeking a highly motivated young PhD student with strong interest in high throughput data analysis.
Detailed descriptions of our recent research activities may be found here:
http://www.humanitas-research.org/condorelli-gianluigi-md-phd/

Position is available starting from October/November. A probationary period of one month will be required.

Please send a CV along with a cover letter stating the reasons for applying and contact details of one or more referees to Dr. Paolo Kunderfranco (paolo.kunderfranco@humanitasresearch.it).

Main mission:

Develop and implement strategies for whole-genome sequencing of non-model
species
Generate high-quality de novo genome assemblies using short- and long-read
sequencing technologies
Perform genome annotation and structural/functional characterization
Conduct comparative genomic analyses across related species or populations
Design and implement genome-wide association studies (GWAS) to identify
loci associated with phenotypic or adaptive traits
Integrate genomic, phenotypic, and environmental datasets
Contribute to the development of reproducible bioinformatics pipelines

Activités (Activities):

Lead the genomic component of the research project
High-molecular-weight DNA extraction optimization
Long-read genome assembly (PacBio HiFi / ONT)
Genome polishing and quality assessment (BUSCO, QUAST)
Structural and functional annotation
Variant discovery (SNPs, indels, SVs)
Population genomic analyses (FST, demographic inference)
Mixed-model GWAS accounting for structure
Workflow development (Snakemake/Nextflow)
HPC-based pipeline implementation
Publish results in peer-reviewed journals
Present findings at international conferences
Collaborate with experimental and computational team members
Contribute to project development
Mentor graduate students when appropriate

More at https://evol.mcmaster.ca/brian/evoldir/PostDocs//MontpellierU.ComparativeGenomics

Sector 8, Dwarka, Delhi -110077

WALK IN INTERVIEW

One position of project fellow is to be filled up in a DRL- funded research project on Molecular and morphological characterization of An. fluviatilis in North-eastern states and bordering areas. The position is purely temporary for one year and can be extended

Essential qualifications

Master’s degree in any branch of Life Sciences with hands on experience in molecular biology and/or bioinformatics.

Age limit: 28 years, (relaxation for SC/ST/OBC candidates as per government of India rules)

Stipend: Rs.12, 000.00 per month (fixed)

Eligible candidates may walk in for an interview on 15 November 2013 at 11 AM at the above mentioned address along with a copy of CV (with a passport size photograph affixed), photocopies of all mark sheets/certificates and originals (for verifications). No TA/DA will be paid for attending the interview .Registration of candidates will start at 10:00AM and end at 10:45 AM.

Advertisement: http://www.mrcindia.org/vacancy/add-4.doc

Few places in Europe where good (and @some places no tution fees) master bioinformatics courses and recommended are:

KU Leuven, Belgium

http://onderwijsaanbod.kuleuven.be/opleidingen/e/CQ_50269018.htm

ETH, Zurich

http://www.cbb.ethz.ch/

University of Copenhagen, Denmark

http://studies.ku.dk/masters/bioinformatics/

University of Helsinki, Finland

http://www.cs.helsinki.fi/en/mbi/

Stockholm University, Sweden

http://www.sbc.su.se/masters/

Universities in Netherlands

http://www.nbic.nl/education/msc-programmes/

TUM , Munich Germany

http://www.mastersportal.eu/studies/865/bioinformatics.html

University of Bergen, Norway

http://www.uib.no/en/studieprogram/MAMN-INF/BI/plan

Goethe-University in Frankfurt am Main

http://www.uni-frankfurt.de/58444439/mabi

Other links:

http://www.masterstudies.com/Masters-Degree/Bioinformatics/Europe/

https://studyinsweden.se/programmes/?query=bioinformatics&period=ht-2016&level=ma&subject=natural-science&university=#search

Lab page @ http://graveleylab.cam.uchc.edu/Graveley/index.html

Address of the bookmark: http://gtpb.igc.gulbenkian.pt/bicourses/index.html

Location : The Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg, Luxembourg, Luxembourg
Deadline for applications : unknown.
Description :

The Luxembourg Centre for Systems Biomedicine (LCSB) was created within the Health Technologies Initiative from the Government of Luxembourg as one of the research priorities of the University of Luxembourg. The LCSB is an Interdisciplinary Centre of the University that combines experimental and computational approaches to analyse complex biological systems and disease processes. The Computational Biology Group (CBG) provides the LCSB with a solid infrastructure in developing theoretical framework for computational modeling on biomedical problems, especially in the area of network biology in the context of cellular programming/reprogramming. The CBG group includes researchers with theoretical, computational and wet lab backgrounds, thereby providing an unusually interdisciplinary environment.
The Computational Biology Group seeks a highly-skilled Ph.D. student to work on an exciting project on reconstruction and analysis of an integrated gene regulatory network model to elucidate key mechanisms of cellular reprogramming. The model will rely on the integration and mining of diverse transcriptomics and epigenomics data of different cell types from the Central Nervous System. The Ph.D. student is expected to collaborate with other members of the CBG to develop a computational methodology aiming at designing, in-silico, cellular reprogramming events, with a focus on the nervous system. This project will be carried out in collaboration with Prof. Noel Buckleys lab at Kings College London.
Requirements of the ideal candidate:
Master degree in Bioinformatics, Computer Science, Biology or a related discipline
Prior experience in mathematical modelling of biological networks, especially in network inference and analysis
Excellent working knowledge in English.
.
We offer:
Full contract for Ph.D. student for three years with possibility of renewal
Opportunity to do applied research to medical problems within a highly dynamic research institution (LCSB) and in collaboration with internationally recognized partners
An exciting international environment
A very competitive salary

For further information, please contact:

Prof. Dr. Antonio del Sol
E-mail: antonio.delsol@uni.lu

Applications should contain the following documents:
A detailed curriculum vitae
cover letter mentioning the reference number
description of past research experience and future interests
name and addresses of three referees

All applications should be sent preferably in electronic version until December 31st, 2013 to the following address:

Luxembourg Centre for Systems Biomedicine (LCSB)
University of Luxembourg
7, avenue des Hauts-Fourneaux
L-4362 Esch-sur-Alzette
Tel: +352-466644-6982 (Office)
Email: antonio.delsol@uni.lu
http://www.lcsb.lu

genomic scale studies
endogenous mechanisms of mutations, germ line and somatic
computational aspects of immunology in cancer
signalling networks
three-dimensional organization of information in the nucleus
gene silencing
metastatic cross-talk
kinase signaling
personalized medicine
detection of biomarkers in cancer
historical DNA variation

From : http://www.ous-research.no/hovig/

Group address:
Eivind Hovig, The Norwegian Radium Hospital, Montebello, 0310 Oslo,Norway
Email: ehovig@radium.uio.no