Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- University of Kiel;
- University of Oldenburg
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Free University of Berlin
- Friedrich Schiller University Jena
- GESIS - Leibniz Institut für Sozialwissenschaften
- Heidelberg University
- Kassel Institute for Sustainability
- Leibniz Institute for Neurobiology
- Leibniz University Hannover
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Ruhr University Bochum
- University of Tübingen
- 11 more »
- « less
-
Field
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
Your Profile PhD in geophysics, glaciology, or related fields Experience in the design of science-driven geophysical surveys excellent track-record of publications in scientific journals (including as a
-
with high-performance computing (HPC) infrastructures is advantageous Excellent analytical and problem-solving capabilities Proven track record of publishing in reputable scientific journals and at
-
analyzing large-scale datasets using software tools like Python Proven track record of publishing high-quality articles in peer-reviewed journals Excellent command of written and spoken English Familiarity
-
with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
-
with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
-
interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
-
to revolutionize the research field in 3D learning. Research topics include: - Neural Rendering: 3DGS, NeRF, etc. - Generative AI: Diffusion, LLMs, GANs, etc. - 3D Reconstruction - SLAM / Pose Tracking (SfM, MVS
-
disciplines (typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one
-
Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
-
, cutting edge research towards scalable quantum computing A research track record commensurate with our ambition Our Offer: We work on the very latest issues that impact our society and are offering you the