Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Technical University of Munich
- University of Tübingen
- Fraunhofer-Gesellschaft
- Leibniz
- Forschungszentrum Jülich
- DAAD
- Free University of Berlin
- Universität Hamburg
- German Cancer Research Center
- Katholische Universität Eichstätt-Ingolstadt
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence
- 6 more »
- « less
-
Field
-
, Machine Learning Frameworks, ROS etc.) are needed and demonstrated expertise in at least one of neural networks or intelligent robotics is needed for these positions. Prior publication in a relevant AI
-
to electron transport theory, machine learning, and molecular dynamics simulations, providing opportunities for students to acquire a broad range of skills. The close interaction with the experimental group
-
Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
, and validate computational findings Apply machine learning and statistical modeling techniques to identify patterns and predict functional impacts of RNA modifications Contribute to publications
-
to W3) in Machine Learning Methods in Business and Economics (f/m/d) to be filled at the earliest possible date. This position is being advertised in cooperation with the Cluster of Excellence “Machine
-
(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US
-
The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | 2 days ago
in a relevant field. You are experienced in the theory of light-matter interactions. In addition, you have expertise in machine learning, or in electronic-structure theory, or in molecular-dynamics
-
, and apply modern machine learning approaches yielding hybrid and reduced order models to enable real-time applications. In collaborating with industrial partners you will integrate real-world data and
-
methods in AI and machine learning, contributing directly to state-of-the-art research with high industrial relevance. Your Qualifications A strong background and Master's degree in Computer Science, AI
-
(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US
-
(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US