Sort by
Refine Your Search
-
multi-disciplinary, science driven team delivering bioinformatics excellence to understand the patterns and mechanisms in neurodegenerative disease. You will be responsible for conducting processing and
-
provide expert bioinformatics advice to the IMCM research project teams and identify, define and plan new analyses that will progress the IMCM research projects. In addition, you will keep meticulous
-
by Professor Dominic Furniss, and the funding provides support for researchers spanning the breadth of a translational medicine pipeline from basic genetics, bioinformatics and AI, through functional
-
difficulties encountered. It is essential that you hold a Master’s degree in Bioinformatics, Biochemistry or other related computational subject. You will have experience in managing large and diverse data types
-
, Accessible, Interoperable, Reusable) wherever possible. It is essential that you hold a Master’s degree in Bioinformatics, Biochemistry, Computer Science, or a related subject. You will have proficiency in
-
, and the funding provides support for researchers spanning the breadth of a translational medicine pipeline from basic genetics, bioinformatics and AI, through functional genomic readouts and tissue
-
on bioinformatics, and present results at scientific meetings To be successful in this role, it is essential that you hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science
-
in first instance. About You You must hold a PhD in Bioinformatics, Statistical Genetics or similar discipline, along with deep understanding of CLL genomics evidenced by high-impact publications. You
-
, Bioinformatics, Statistics, Mathematics and Physics, Computer Science or a related discipline and post qualification research experience. You will have experience of data management and demonstrated competence in
-
machine learning algorithms to support cutting-edge analyses of complex datasets. It is essential that you hold a PhD/DPhil (or close to completion) in statistics, machine learning, bioinformatics