Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Humboldt-Universität zu Berlin
- Nature Careers
- Leibniz
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Technical University of Munich
- ;
- BIPS GmbH
- Eisbach Bio GmbH
- Fritz Haber Institute of the Max Planck Society, Berlin
- German Institute for Global and Area Studies (GIGA);
- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH
- Max Planck Institute for Dynamics and Self-Organization
- Max Planck Institute for Evolutionary Biology, Plön
- Max Planck Institutes
- Stanford University;
- University of Gottingen
- University of Oldenburg
- Universität Erfurt
- 9 more »
- « less
-
Field
-
Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
-
approaches that hit the unique mechanism that underlies the regulation of our targeted molecular machines. In doing so, EISBACH’s spearheads the development of first-in-class, next-generation precision
-
to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational
-
interfaces under reaction conditions, using machine-learned interatomic potentials (MLIPs) for automatic reaction network exploration for catalyst dynamics, and developing the next generation of kinetic Monte
-
novel biomarkers by integrating proteomics, metabolomics, and genomics / transcriptomics data with machine learning techniques. The position is to be filled starting November 1, 2025, either full-time or
-
, to participate in knowledge exchange and outreach activities (media engagement, policy advisory activities). There are no teaching obligations for this position, but it will be possible to teach at one of GIGA’s
-
–policy interface for municipal biodiversity conservation and climate adaptation with nature-based solutions Processing and evaluation of remote sensing data, including methods of computer vision
-
transfer desirable good computer skills (including MS Office) good written and spoken English skills (at least B2) knowledge of German is an advantage, but not obligatory Please send your application
-
, to participate in knowledge exchange and outreach activities (media engagement, policy advisory activities). There are no teaching obligations for this position, but it will be possible to teach at one of GIGA’s
-
For fellowship holders: Monthly salary contribution (3040 EUR gross for PhD, 5080 EUR gross for post-doc level) Monthly mobility allowance (600 EUR) Family allowance (660 EUR) Special needs allowance (upon demand