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Field
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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found on the website: https://www.graduateschool-computerscience.de/ . Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
for scientists in cognitive neuroimaging. The IDP further aims to establish a common vision between student and supervisor of the roadmap towards the successful PhD project, while at the same time minimising
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within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 3 months ago
ecology, evolutionary biology, molecular biology, quantitative behavior, computer vision, and physics of behavior. We envision this project to primarily involve laboratory-based investigations, although
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research interest (this gives some insight in your vision on future research) and c) your research experience (mostly what your Master thesis was about), so we understand your motivation of doing a PhD with