Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- University of Tübingen
- Nature Careers
- CISPA (Stuttgart)
- Carl von Ossietzky Universität Oldenburg
- Forschungszentrum Jülich
- Free University of Berlin
- Friedrich-Alexander-University Erlangen-Nürnberg
- GESIS - Leibniz Institut für Sozialwissenschaften
- GSI Helmholtzzentrum für Schwerionenforschung
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum für Umweltforschung - UFZ
- Heraeus Covantics
- International Max Planck Research School for Molecules of Life (IMPRS-ML)
- Max Planck Institute for Demographic Research (MPIDR)
- Universität Bielefeld
- Universität Düsseldorf
- 10 more »
- « less
-
Field
-
computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
-
description The BM2 Lab is an interdisciplinary research group at the interface of physics, computer science & biology interested in understanding morphogenesis, bio-mechanics and their interaction in living
-
Looking for PhD StudentsWe are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
-
papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or PhD degree in Computer Science, Mathematics, Physics, or similar fields Good knowledge of AI and
-
the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
-
information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
-
of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
-
, and long-term preservation. Its mission is to foster FAIR data, open science, and reproducible research in the quantitative and computational social sciences. This includes archiving services with
-
) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission