Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- DAAD
- Humboldt-Stiftung Foundation
- ;
- Free University of Berlin
- Technische Universität München
- University of Tübingen
- Deutsches Elektronen-Synchrotron DESY •
- FAU Erlangen-Nürnberg •
- Helmholtz-Zentrum Geesthacht
- Justus Liebig University Giessen •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute of Molecular Physiology, Dortmund
- Max Planck Institutes
- Max Planck School of Cognition •
- RWTH Aachen University
- Saarland University •
- Technical University of Darmstadt •
- Technische Universität Berlin
- Technische Universität Braunschweig
- Ulm University •
- University of Bremen •
- University of Göttingen •
- University of Potsdam •
- 19 more »
- « less
-
Field
-
-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
-
, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
-
application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
-
problems Evaluation and advancement of methods for the robustness certification of neural networks with deterministic or stochastic methods Adaptation of near-team and fault-tolerant algorithms for quantum
-
relevant algorithms Perform tests on available simulation models Evaluate and document the results What you bring to the table You are close to completing a master's in electrical engineering, computer
-
project team on “Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design” (PARTIALJUSTICE) to examine issues of justice and participation in
-
experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
-
of the datafication and algorithmization of society, culture, and human knowledge in the age of AI. You will play an active role in developing an innovative departmental profile. At the same time, we offer you a
-
, and socially just energy supply system based on renewable energies. We contribute to this with our research focuses on energy provision, energy distribution, energy storage, and energy utilization
-
algorithms into an existing framework, with a focus on efficiency, as well as creation and execution of relevant simulation pipelines: from real data to mathematical and clinically actionable results