Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Free University of Berlin
- Leibniz
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Heidelberg University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Max Planck Institute for Brain Research, Frankfurt am Main
- Carl von Ossietzky Universität Oldenburg
- Deutsches Elektronen-Synchrotron DESY •
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heraeus Covantics
- International PhD Programme (IPP) Mainz
- Katholische Universität Eichstätt-Ingolstadt
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institutes
- Saarland University •
- TU Dresden
- University of Bremen •
- University of Potsdam •
- University of Tübingen
- 18 more »
- « less
-
Field
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
analysis tools Implementing continuous benchmarking of the library Optimization of the library algorithms and underlying data models for speed and memory efficiency Maintenance and improvement
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
(at the time of contract) for that position. Job-description: - evaluation of mass spectra from the Cosmic Dust Analyser onboard the Cassini space probe - collaboration with a computer scientist who is
-
programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
-
algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
-
for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
-
of software interfaces and data models Selection and configuration of algorithms for annotating and organizing research data and software using state-of-the-art AI technologies Ensuring the sustainability and
-
of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
-
technology. ▪ Close connection to the activities of the Munich Quantum Valley with its main goal to build a quantum computer based on different platforms, to develop suitable algorithms and applications, and