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At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate
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/ Ability to develop new AI algorithms and statistical methods / Experience with large-scale biobank or cohort data. Strong background in Health Economics and Health Policy / Focus on Health Technology
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within the Research Area of Inflammation at CMM. Develop new analytical algorithms to address complex, high-dimensional data. Engage in local collaborations at Karolinska Institutet and with external
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of data science to research problems in biology, medicine and healthcare). We seek team scientists who will lead research focusing on: a) translational data science; b) the development of data commons
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-throughput data from patient cohorts and work on the development of improved NGS data analysis algorithms and design novel applications e.g. for the integration of different data types. Your Profile
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within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
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engineering. We develop cutting-edge technologies, promoting the sustainable and economical use of resources, and meeting the technological demands of Luxembourg, the Greater Region, and beyond. Nearly all
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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is expected to lead and develop research and teaching on quantum simulations of materials at the Department of Physics and the Nanoscience Center, focusing on topics with connection to the research
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint