Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Leibniz
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Free University of Berlin
- University of Tübingen
- Heidelberg University
- Humboldt-Stiftung Foundation
- Technische Universität München
- ;
- LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- RWTH Aachen University
- Technische Universität Braunschweig
- Administrative Headquarters of the Max Planck Society, Munich
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Plant Breeding Research, Cologne
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Technische Universität Darmstadt
- University of Bonn
- 18 more »
- « less
-
Field
-
Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
-
programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
-
of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de ). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral
-
Completed scientific university degree in engineering or natural sciences, computer science, or a degree program that includes aspects of these disciplines, or at least 5 years of professional experience in
-
-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
-
in teams Good language skills in English Good communication skills Ability to be on-site approx. once per week Especially suitable for students with the field of study in computer science, mathematics
-
. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
-
of Mathematics, Computer Science and Natural Sciences We are inviting applications for the position of full professor in the area of geometry and probability for high dimensions, to be filled as soon as possible
-
from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
-
structured onboarding programme Individual and extensive training opportunities and career boosters for your professional and personal development, e.g. opportunities for a doctorate or participation in