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Field
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project will define cell-cell communication pathways and gene regulatory networks involved in normal and abnormal artery formation. Key findings will be validated in developing embryos and investigated
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researchers from diverse backgrounds. Good communication skills and a willingness to learn are important for working effectively within and beyond the consortium. Candidates should hold a Master’s degree in
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project will define cell-cell communication pathways and gene regulatory networks involved in normal and abnormal artery formation. Key findings will be validated in developing embryos and investigated
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AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Fatigue profoundly impacts mobility and quality of life in people
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
regulate transcription, chromatin organization, and cell fate. We combine molecular and cellular biology with biochemistry, quantitative imaging, and functional genomics to uncover fundamental mechanisms
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 22 hours ago
goal, we build on a strong foundation in geometric deep learning, generative AI, representation learning, high-throughput genetics and proteomics, molecular and cell biology, chemical biology, and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | about 10 hours ago
of mobile working for up to 50% of regular working hours Annual special payment in accordance with the German public sector collective agreement (TVöD Bund) Occupational health promotion
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) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning predictions using the high-throughput data. The successful candidate will collaborate
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with experience in zebrafish work, advanced microscopy (in vivo imaging, confocal microscopy), host–pathogen interactions, innate immunity, vaccination, gene expression analysis, or cell-based assays