Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- DAAD
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- ; Technical University of Denmark
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- 3 more »
- « less
-
Field
-
its detailed analysis through Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap
-
supported by an external team of deep-learning experts. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
-
to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
-
Your Job: In this position, you will be an active part of our AI Consulting Team. Together with our partners, we develop new and innovative applications of Machine Learning. You will connect
-
requirement. We value diverse perspectives and are committed to finding the best candidate, recognizing that growth and learning are part of the role. We expect: a proactive and motivated approach to tackling
-
-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
-
science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
-
theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
-
). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
-
such as R, Python, or Java Unix / HPC experience very good written and spoken English pro-active learning ability to work independently as well as a team member excellent communication, organizational, and