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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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. Usadel, specializes in data integration, classical bioinformatics, data science, and machine learning. The offered position will focus on the ELN-RO project, which has the aim to establish seamless
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of Mathematics and Natural Sciences at Heinrich Heine University Düsseldorf is inviting applications for the position of a Professorship for Machine Learning (open rank: W2 or W1 with tenure track to W2
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are aiming for a broad spectrum of methodologies and topics, including but not confined to artificial intelligence and machine learning, applied economics, political economy, market design, behavioral and
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the collected data in accordance with FAIR standards for collaborative use within the Decode project and for machine learning applications Presentation of results in team meetings and preparation of a
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pangenomics), quantum-based simulation methods for drug design, or quantum machine learning for large omics datasets. The candidate is expected to have acquired first teaching experience, and first experience
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Programme? Not funded by a EU programme Reference Number Bu- CIW 06 Is the Job related to staff position within a Research Infrastructure? No Offer Description WHAT TO EXPECT You will teach mathematics in
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TO EXPECT In the context of this professorship, you will teach and conduct research into drive systems at the Department of Mechanical Engineering, focusing on hydraulic, pneumatic and electric drive systems
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) Intense interaction with consortium Your Profile: Master and PhD degree in materials science, physics, chemistry, informatics, machine learning, energy technology or related subjects Prior experience in
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of molecular science. Our research bridges catalysis, functional molecule design, molecular machine learning and data-driven discovery, to address pressing scientific challenges. We are pioneers in