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migration, genome organisation, nuclear architecture, cellular mechanobiology, phase separation, and mitosis – which are advanced through pioneering imaging and biophysical approaches. Your role Develop and
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imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing experimental results; developing conceptual models and
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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approach by supporting tailored learning experiences based on the needs and schedules of the software developers. With recent advances in Large Language Models (LLMs) and their use for code generation
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 7 hours ago
opportunities for cutting-edge research projects. Students benefit from the extraordinary infrastructure enabling all types of cognitive neuroimaging experiments. The IMPRS CoNI covers all major imaging and
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procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examinationapprox. 1-2 months Review Processapprox. 3-4 months Conferral Nomination documents
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Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examination approx. 1-2 months Review Process approx. 3-4 months Conferral Nomination documents Laudation
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nomination Continue nomination The selection procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examinationapprox. 1-2 months Review Processapprox
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early