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evaluation of high-performance light microscopy experiments coordinating the smooth operation of the facilities, including instructing users in the operation of the imaging and biophysics facilities
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) on the generated image datasets. Conducting experiments to assess the performance of different models and encoding techniques. What you bring to the table Enrolled Student in Engineering, Mathematics
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Description The Cluster of Excellence “CUI: Advanced Imaging of Matter”, funded by the German Federal and State Governments, combines projects in physics, chemistry, and molecular biology at
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Description The Cluster of Excellence “CUI: Advanced Imaging of Matter”, funded by the German Federal and State Governments, combines projects in physics, chemistry, and molecular biology at
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science
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Requirements: university and PhD degree in physics, biology, engineering, or a related field strong background in quantitative imaging and analysis; prior experience with single-molecule imaging and/or
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DWI Leibniz-Institut für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 25 days ago
image analysis and computer vision, ideally in the context of biological samples or materials science. Willingness to also engage in sample preparation and image acquisition. Ability to work in a
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, Multi-modal Learning, Self-supervised Learning, Computer Vision Keen interest in training LLM's on new tasks and domains Understanding of deep learning fundamentals Strong data engineering skills in
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 8 hours ago
. To address these questions, we combine the power of the zebrafish embryo with quantitative biochemical, imaging, next-generation sequencing, and computational approaches. Our vision is to create a
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, Computer Science, Data Science or a related discipline Solid knowledge of Probability Theory, Linear Algebra, and Analysis Experience with PyTorch; familiarity with probabilistic modeling and Gaussian Mixture Models