201 engineering-computation-"https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Center for Molecular Bioengineering ( B CUBE) ( https://tu-dresden.de/cmcb/bcube ) and its partner institutions, the Biotechnology Center (BIOTEC) and the Center for Regenerative Therapies
-
Are you an early career researcher with a promising research idea? Apply now for the Young lnvestigator Group Preparation Program (YIG Prep Pro), a postdoctoral fellowship and support program at KIT
-
of Computational and Molecular Prevention (headed by Prof. Dr. Filimon Goncalves) is seeking for the next possible date a Postdoctoral Researcher – Computational & Translational Analysis of Pulmonary Nodules
-
, 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. At our location in
-
Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date: 09.12.2025 Job description: Scientist (Postdoc) as research software engineer Referenzcode
-
science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
-
framework bridging host- and microbe-focused infection biology. More details: https://www.helmholtz-hzi.de/en/research/research-program/human-microstar/
-
Cell Biol 160, 223–251 (2023). https://doi.org/10.1007/s00418-023-02209-1 Virshup, I., Bredikhin, D., Heumos, L. et al. The scverse project provides a computational ecosystem for single-cell omics data
-
the framework of the MaReCuM model study program, the W3 professorship for Transfusion Medicine and Immunology is expected to participate in teaching in accordance with the regulations for W3 professorships in
-
, biological processes for plastic recycling. The research is expected to make use of methods from metabolic engineering, synthetic biology, and adaptive laboratory evolution, as well as automation opportunities