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opportunity to work with a group of researchers to investigate the most efficient methods for sensor data fusion, training new algorithms for improving state-of-the-art scene understanding and tracking
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investigate the most efficient methods for sensor data fusion, training new algorithms for improving state-of-the-art scene understanding and tracking for accurate navigation in complex scenarios. You will
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scientist to enter the field of modern high-end light microscopy. The candidate will support the IMCF by maintaining various state-of-the-art wide-field, confocal, spinning disk, light sheet (live cell and
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; Perform multibunch simulations using the state-of-the-art codes such as XSuite, PyHEADTAIL, PyECLOUD and DELPHI/e-DELPHI; Improve code when needed e.g. on the Vlasov solvers' side to allow the simulation
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Your position The candidate will support the IMCF by maintaining various state-of-the-art wide-field, confocal, spinning disk, light sheet (live cell and cleared samples), multiplexed (seqFISH
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literature reviews, and ensure the successful completion of the publication process in the leading journals of our field. The Research Fellow will also support the integration/transfer of research insights
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computer science and applied mathematics to develop state-of-the art generative machine learning models to design improved catalysts for these reactions. Your profile We are looking for a committed and motivated
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part of a vibrant research environment, using state-of-the-art instrumentation to perform your own and collaborative research on EUV photoresists towards sub-10 nm patterning. Your tasks will be