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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | about 2 months ago
Matlab or experience with Python and willingness to learn Matlab are required. Experience with functional data (fMRI, calcium imaging) or image processing is a plus. Experience working with birds is not
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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shared goal: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: Application of methods from security-relevant areas such as
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling human and animals shape and behavior. Laboratory website About the position You
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applied to complex data across various domains, including energy systems, industrial processes, healthcare, finance, and mobility. We are offering a Master’s thesis (or research assistant opportunity) in
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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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of infectious disease. Our laboratory also offers a wide range of further methods and technologies (organoids, organ-on-chip, diverse sequencing approaches, confocal imaging etc.). Thus, students with an open
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Package: Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants Contribute scientific content to patient