Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- University of Tübingen
- Humboldt-Stiftung Foundation
- Leibniz
- Ludwig-Maximilians-Universität München •
- University of Göttingen •
- Friedrich Schiller University Jena •
- Goethe University Frankfurt •
- Heidelberg University
- University of Konstanz •
- Brandenburg University of Technology Cottbus-Senftenberg •
- Fraunhofer-Gesellschaft
- Freie Universität Berlin •
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin •
- Justus Liebig University Giessen •
- Leipzig University •
- MPINB
- Max Planck Institute for Infection Biology •
- Max Planck Institute for Mathematics •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for Social Law and Social Policy, München
- Max Planck Institute for the Structure and Dynamics of Matter •
- Max Planck School of Cognition •
- Ruhr-Universität Bochum •
- Technical University of Darmstadt •
- Technische Universität Berlin •
- Ulm University •
- University of Bremen •
- University of Cologne •
- University of Münster •
- University of Potsdam •
- University of Regensburg •
- University of Tübingen •
- Universität Hamburg •
- 29 more »
- « less
-
Field
-
Objects and Visual Studies” doctoral program of the BerGSAS, https://www.berliner-antike-kolleg.org/en/bergsas/index.html We welcome applications from highly qualified graduates from the fields
-
analyses, an area in which our group has a track record of success (see recent publications below). The TARGET-AI project seeks to apply leading-edge techniques from deep learning and Bayesian modeling
-
challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
-
analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
-
eye tracking, we will study how people coordinate and interact within these settings. The project is carried out in collaboration with partners at RWTH Aachen University and the University of Rennes
-
institutions in five European countries and will be supported by a network of industrial and academic partners. About the position The objective of this project is the development and application of soft sensors
-
analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
-
resources or new data collections. An outline of the thesis aims and objectives (the exposé) will be developed within the first six months. PhD students will receive close mentoring on both research and
-
(e.g. Bayesian Statistics, HMMs, AI, advanced programming in Python) in small classes of max. 10 participants. Lecture series: QMB students suggest, invite, and host external speakers at this event
-
areas of each track of the programme (economics, finance, marketing and accounting), followed by courses designed to expose students to the research frontier in a variety of fields of specialisation