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highly motivated Master’s student (f/m/x) to join our research team for a thesis project. Your tasks The lab has previously established an in vivo model system for pooled single-guide RNA (sgRNA) CRISPR
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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the structure of the mean climate and project future climate change – and how these effects compare to those from conventional climate models. YOUR RESPONSIBILITIES Develop an original research program that
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The applicant will work in the frame of the EU Research and Innovation Action projects such as "New Copernicus Capability for Trophic Ocean Networks (NECCTON)" aiming to develop new ocean modelling
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concepts in cooperation with IT colleagues and scientists at COS Heidelberg and the University Computing Center Management and migration of large amounts of data Metadata management and archiving Planning
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A227-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description In
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short-read RNA-sequencing data or Using a foundation model to develop a perturbation prediction model for aging Foundation models will be developed using different species, perturbations may be chemical
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of sequence and genome data (computational skills) in compliance with the FAIR principles, have experience in working with non-model organisms (animals), have experience in developing independent research
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A228-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description In