Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Heidelberg University
- Forschungszentrum Jülich
- University of Tübingen
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- ; Technical University of Denmark
- Free University of Berlin
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Molecular Biomedicine, Münster
- WIAS Berlin
- 2 more »
- « less
-
Field
-
) to improve disease characterization. Develop cutting-edge architectures (e.g., federated learning) for medical research. Publish high-impact research in leading journals and conferences. Collaborate with
-
learning and signal processing approaches to classify cap types from raw signal traces. Collaborate closely with experimental researchers to guide experimental design and interpret data. Contribute
-
The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
-
Group 13 TV-H*, in the Research Group “Radicalization, Terrorism and Extremism Prevention" for the duration of three years (acc. to WissZeitVG**). Your responsibilities include: Collaborative and
-
Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
-
Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
). 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
-
collaboration and mutual learning access to high-performance computing a chance to contribute meaningfully to an ambitious research agenda focused on creating positive impacts for global society and future
-
). 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
-
). 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
-
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