Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- DAAD
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Leibniz
- Nature Careers
- Brandenburg University of Technology Cottbus-Senftenberg •
- Technische Universität Berlin •
- ;
- Deutsches Elektronen-Synchrotron DESY •
- FAU Erlangen-Nürnberg •
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Plant Breeding Research, Köln
- Max Planck Institutes
- Saarland University •
- University of Bremen •
- University of Göttingen •
- University of Potsdam •
- University of Stuttgart •
- University of Tübingen
- 15 more »
- « less
-
Field
-
) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
-
strategies - Model Proficiency and Application #learn the biophysical crop simulation model EPIC or an equivalent alternative #apply the model to simulate existing land management systems and land use change
-
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
-
the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
looking for PhD Students in areas related to: Cybersecurity, Privacy and Cryptography Machine Learning and Data Science Efficient Algorithms and Foundations of Theoretical Computer Science Software
-
looking for PhD Students in areas related to: Cybersecurity, Privacy and Cryptography Machine Learning and Data Science Efficient Algorithms and Foundations of Theoretical Computer Science Software
-
are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
-
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