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myeloma, as well as to understanding immune aging processes, through comprehensive functional, phenotypic, and genetic analyses of large, dedicated patient biobanks. To elevate our research to the next
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. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics to medicine: our education and research cover the full breadth of science, from molecules
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. Research in our group aims at advancing fundamental knowledge of the interactions between plants and their pathogens, using state-of-the-art methods in molecular biology, genetics, biochemistry, and
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. · Demonstrable skills in quantitative research methods; experience with genetic or omics data (such as proteomics or metabolomics) is a plus. · A good command of the Dutch language is a strong advantage
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Are you passionate about mathematical control theory and its applications? Are you eager to develop estimation and control algorithms for large-scale dynamical systems with the aim of making next
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, from obesity to malnutrition, from helium to the universe and from genetics to medicine: our education and research cover the full breadth of science, from molecules to mankind. Our academic education
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learning algorithms for early damage detection, health indicator extraction, and remaining useful life prediction. The successful candidate will take a leadership role in experimental integration and data
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work with Dr. Anna Dawid and her research team. The position is set in the exciting, friendly, and interdisciplinary environment of the aQa (Applied Quantum Algorithms) group, which is a team of faculty
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Research Infrastructure? No Offer Description Job description You will explore hardware/algorithm co-design for NeuroAI, simultaneously taking into account scalability inspired by modern AI workloads, as
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onsite consortiummeetings ensure a thriving international collaborative research network. Your role will be to investigate novel immune checkpoint targeting strategies using genetically engineered immune