42 computer-science-intern "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions at Nature Careers in Germany
Sort by
Refine Your Search
-
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded
-
social dynamics, as well as the interactions between the two. To this end, we are looking for colleagues from a wide range of disciplines, including the natural sciences as well as the social sciences. We
-
site in Heidelberg, invites international students holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology / public health
-
in international scientific journals and at international conferences and workshops Your profile master’s degree in mechanical engineering, materials science, computational engineering, computer science
-
on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
-
to join this exciting programme and contribute to the advancement of precision medicine and targeted molecular therapies. An international spirit, active networking, extracurricular activities and
-
on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
-
Job Id: 11716 Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics We are UKM. We have a clear social mission and, with our focus
-
Job Id: 11712 Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics We are UKM. We have a clear social mission and, with our focus
-
, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts