Sort by
Refine Your Search
-
to define how RecQ helicases maintain genome stability to limit premature aging and cancer development. These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and
-
Engage in teaching and supervision as required Expectations of qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in
-
carrier and its various transport transitions stochastically. The PhD student will join the LUMIN team that is pushing the boundaries of luminescence physics. The researcher will collaborate with other team
-
highly motivated, determined, innovative, and collaborative postdoc to lead the research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g
-
machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
-
external partners Engage in teaching as required Essential Qualifications PhD in molecular biology, epigenetics, chromatin biology, genomics, cancer biology, biochemistry, developmental biology or related
-
Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
closely with a PhD student and the broader project team and will contribute to the implementation and follow-up of the randomized controlled trial evaluating internet-based therapy for mothers with
-
aspects of drug use, drug effects, and drug safety. The group is highly regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups
-
contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
-
defining the T cell immunogenicity of the HLA antigen presented peptides remains very limited. This greatly limits the applicability of current antigen presentation (in-silico and experimental