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is looking for a postdoctoral researcher, doctoral researcher or project researcher to develop machine learning methods for health data analytics. The fixed term position starts on mutual agreement
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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curiosity, openness, and intellectual humility, with an emphasis on constructive communication and shared learning. We support individual development while working together to achieve ambitious research goals
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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-immunology-program-trimm YOUR QUALIFICATIONS We are looking for ambitious researchers with a PhD, a solid publication record, and strong background in some of the following experimental/computational areas
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omics datasets developing and applying machine learning methods to biomedical questions keeping up with rapidly evolving methods in the field collaborating with biomedical researchers to assess
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resolve these questions, due to their proven ability to show plasticity in many traits. About you You have a PhD degree. You have experience with bioinformatic analysis, behavioral and/or experimental
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-supervising PhD and MSc students working in the project Contributing to new research ideas and (co)-applying for grants Depending on interests and expertise, some teaching on nutritional physiology, microbiome
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oriented field relevant to the project, such as computer science, mathematics, statistics or physical sciences. Expertise in machine learning based and statistical data analysis, including the capability
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions