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in the acquired autoimmune disorder immune thrombocytopenia as well as in inborn errors of immunity. You will conduct research using human blood samples, processing them for imaging flow cytometry
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
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application! Work assignments Our current research projects focus on distributed radar sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine
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salaries. More information about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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. Biohybrid Systems: Exploring and harnessing biological structures and processes to create biohybrid systems and living materials. These innovations are designed to develop sustainable technologies with unique
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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food production and resilient crops that can withstand climate change. Biohybrid Systems: Exploring and harnessing biological structures and processes to create biohybrid systems and living materials