Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
description: - scientific services in research within the BMBF-project “ATLAS”, especially development of digital twins for liver cancer therapy evaluation/ development of patient-specific models decision
-
design and implementation of SolMates-specific data models and electronic laboratory notebooks (ELNs) supporting image-based characterization and process monitoring short-term and potentially longer
-
Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
-
development of analyses and computational models of behavior and cortical functions tasks for personal scientific qualification (doctorate) Requirements: completed scientific university degree in neuroscience
-
and further information on the application process can be found here . Application Deadline Please check the website for up-to-date information on application deadlines.
-
requirements) All social benefits provided by working for the public service: e.g. an annual bonus, payment of benefits Flexible working time models for the compatibility of family and career IfADo is committed
-
Huszar | Neil D Lawrence Signal Processing and Communications @ CUED Simon Godsill Back to top Cambridge Machine Learning Group . Follow us on @CambridgeMLG and check out our GitHub Cambridge-MLG
-
models for omics data development and documentation of scalable benchmarks and/or pipelines for training interpretable models application and validation of the approaches on (single-cell) data from
-
the quality and the innovative character of the candidate's proposed research project the candidate's willingness to contribute to and to profit from a highly interdisciplinary fellowship community the fit
-
. The project combines ex vivo analyses of polyphosphate metabolism and signalling with in vivo models of thromboinflammation and metabolism. This position offers an exceptional opportunity to grow scientifically