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Name of the Project: “Artificial intelligence in Oncology, Harnessing big data and advanced computing to provide personalized diagnosis and treatment for Cancer patients” Age Limit: 35 How to Apply for the AIIMS Life Science Job: Interested...

Peng Lab at Janelia Farm Research Campus, Howard Hughes Medical Institute focuses on data mining for bioinformatics and computational molecular biology, particularly, bioimage data mining and informatics. These bioimages include cellular and...

https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html Your profile: Degree in bioinformatics, biostatistics, or equivalent Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance...

Qualifications: Candidates must have a Ph.D. and a strong background in Molecular and Cellular Biology, protein expression, FACS, or computational biology, and ability to work collaboratively. This position will have a significant focus on...

genohub.com - The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared...

An opportunity to perform research in DST supported project that involves building of mathematical models to understand the functional relationship between circadian rhythms and memory formation under stressful condition. In this project,...

Mapping reads to a reference genome is an essential step in many types of genomic analysis, such as variant calling and gene expression analysis.

EVOLUTIONARY AND INTEGRATIVE CELL BIOLOGY Our research is at the crossroad between cell biology, ecological genomics, systems biology, molecular evolution and population genetics. We study the architecture and evolution of protein and signalling...

Longest read of 1mb achievements with Nanopore

We are involved in the development of methods and software in chemoinformatics. Current main projects are: 1.automatic learning of chemical reactivity and metabolism, 2.simulation of NMR spectra, 3.modelling of properties of ionic liquids,...