204 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
students). Requirements * PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software development * Experience with NGS data processing
-
grades) in a relevant field such as management, entrepreneurship, economics, (organizational) psychology, finance, or business informatics, • ideally has academic or practical experience in the field
-
of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
-
Design Engineering at Imperial College London, TUM’s Professorship of Energy Management Technologies participates in this program and awards an excellent candidate with a prestigious JADS PhD scholarship
-
06.09.2023, Wissenschaftliches Personal The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration
-
Research Associate (Postdoctoral fellow) or PhD student to join our team starting from now onwards. This position is funded for three years and focuses on cutting-edge research in the field of B cell
-
to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
-
. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
-
the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
-
integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline