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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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, including oncologists, immunologists, and imaging experts, to drive the research programme forward. • Prepare high-quality research manuscripts and present findings at national and international
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, and engineers specializing in electron and X-ray microscopy, fostering a collaborative, inclusive, and high-performance culture Advance the CNM user science program, enabling cutting-edge experiments in
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-for-translational-immunology/ . The CIC brings together all researchers performing computational work at the CTI, and provides a stimulating environment for fundamental, translational and clinical immunology. Our
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, including participation in evaluation measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research
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Tenure Track Assistant Professor or Associate Professor in building information modelling and dig...
detailed design and operation of buildings that address the transition of building stock towards low carbon and high quality of life, and (2) to deliver high-quality teaching at undergraduate and graduate
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"—you are a vital collaborator. You will provide the high-level technical expertise that allows our researchers to push the boundaries of cancer biology, from high-dimensional immune profiling to complex
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development, and a postdoc training programme that prepares scientists for leadership roles in science. If you are interested in applying for this role, please apply via our website . All offers of employment
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Research Associate (Postdoc) in Animal Network Ecology § 28 Subsection 2 HmbHG Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Lab of Animal Network
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into genomics and medicine | FinnGen , nationwide longitudinal health registry, iCAN flagship discovery platform and EHR data. The research is supported by high-performance supercomputer LUMI and highly