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such as epidemiology, biostatistics, computer science, statistics, etc. We will also consider those with PhDs in other areas but who have advanced/relevant data science skills (e.g., machine learning
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psychiatry. The projects will involve advanced epidemiology, pharmacoepidemiology, and machine learning methods. You will be part of a well-funded and successful research group, collaborating with
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at the frontier between deep learning and genomics, we encourage you to apply for this position. Your profile To be eligible for employment as a postdoctor, a PhD or a foreign degree deemed to be equivalent to a
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methods further, we are looking for a postdoc with a keen interest in biotechnology and protein biochemistry. About the position You will be part of an excellent team of several PhD students, PostDocs, and
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the opportunity to develop your own research ideas within the lab’s focus areas Build and refine computational models of human innovation and learning processes Design and test AI algorithms
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, applicants must hold (or be close to completing) a PhD in Computer Science or a foreign degree deemed to be equivalent to a doctoral degree with strong background in medical image analysis, deep learning
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synchrotron infrastructure tools for ex-situ and in-situ experiments to acquire essential information regarding the microstructure and the physical mechanisms involved during thermomechanical loading
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for electrophysiologists who are interested in the studying molecular mechanisms by which mice learn and keep information in the brain. The lab’s research focus is to uncover experience-driven protein signaling mechanisms
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currently has four PIs and 14 scientists (PhD students, postdocs, and researchers) with different backgrounds. The group strives for an inclusive environment, based on collaboration and trust, where
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teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The duties include: participation in research within