Sort by
Refine Your Search
-
opportunities for these diseases. The project will use a wide variety of data processing, data analysis, and statistical techniques to functional genomic data (ChIP-seq, RNA-seq, ATAC-seq, co-accessibility
-
for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science
-
used for all aspects of cell/molecular biology/biochemistry. It is essential that you hold a PhD/DPhil (or close completion) in molecular biology, biochemistry, cancer research or a related life science
-
a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
-
Novo Nordisk funds a prestigious fellowship programme at the University of Oxford, supporting basic science researchers in diabetes, obesity, cardiovascular diseases, and other cardiometabolic
-
of data and report writing. This role also includes in collaboration and preparation of research publications, presenting findings and acting as source of information and advice to other members
-
the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
-
should possess a PhD/DPhil in engineering, physics or applied mathematics, and hold a strong publication record in your field. You should have expertise in numerical or experimental modelling (preferably
-
completion, of a relevant PhD and have experience analyzing high-throughput sequencing data. Excellent communication skills and the ability to present your work and contribute to publications is essential
-
hypotheses as appropriate, and contributing ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant scientific discipline such as molecular biology