Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
-
of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and
-
with fewer data points and tailored reward functions towards design objectives while generating molecules in 3D. Additional requirements: Doctoral degree (PhD) in computational (medicinal) chemistry
-
reports) support of e.g., interns, students, doctoral candidates in the processing, evaluation and interpretation of data and in the conception and implementation of research projects Requirements
-
! Education: PhD degree on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Required experience and skills
-
develop new quantitative tools to study human tissue in a clinically relevant context. Gothenburg is quickly becoming a hub for life sciences in the Nordics, with a strong focus on research and innovation
-
prestigious career development awards such as the NIH/NCI K99/R00 Pathway to Independence Award and mentoring recipients of the NIH/NCI F30 Predoctoral MD/PhD Fellowships. The selected candidate will receive
-
researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
-
Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
and its substrate, the 195 kDa protein complement C5. A series of unpublished cryo-EM structures representing intermediates along the reaction path are available to support rational design of
-
responsibilities: Designing and leading analyses to integrate genetic and molecular data in various populations, taking advantage of the exceptionally rich data available at the Centre; Developing effective ways