Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Nature Careers
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Leibniz
- Forschungszentrum Jülich
- DAAD
- University of Göttingen •
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- Freie Universität Berlin •
- Hannover Medical School •
- Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Mathematics •
- Max Planck Institute for Solid State Research •
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universität Berlin
- University of Bonn •
- University of Tübingen
- 11 more »
- « less
-
Field
-
of Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs), with a strong emphasis on deploying these models on hardware-constrained edge platforms. The position focuses on developing robust
-
of more than 6 billion euros, the Helmholtz Association is Germany’s largest scientific organization. The name Helmholtz stands for concerted research, in which networks form the key principle behind inquiring
-
Dresden (cfaed) offers a position as Research Associate (m/f/x) on basic research on the nonlinear dynamics and statistical physics of complex systems and networks (subject to personal qualification
-
architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning
-
economic consequences. High self-motivation to solve complex problems Independent way of working Reliable and conscientious working style Basic programming skills (Python) advantageous Very good knowledge
-
position can be filled on a part-time basis with a minimum of 32 hours per week. The Planetary Boundary Initiative (PBI) is a growing network of institutions and organizations that aims to develop a
-
investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
-
programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
-
in the challenges of the energy transition and its economic consequences You have a quick grasp and the ability to analyze and creatively implement complex issues You are proficient in the use
-
to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a