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Number req26292 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The R. Ken Coit College
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at the interface of automatic control, electrochemistry, and machine learning. The position will also involve close collaboration with another postdoctoral researcher working on a complementary project in physics
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September
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precision therapeutics. The appointed fellow will design and fabricate nano- and micro-engineered platforms that interface with human stem cells, investigate cellular and molecular mechanisms governing
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
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sustainable energy technologies. About us The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research
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constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms. The project will consider
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biology, and related experiments Work with a diverse team of scientists Interface directly with internal and external partners in various disciplines Present research results at national scientific meetings
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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ERC-funded Postdoctoral Researcher (m/f/d) in Zebrafish Optogenetics & Single-cell Genomics (Berlin)
inducible and optogenetic approaches, coupled with single-cell multiome read-outs. Job Description You will work at the interface of experimental and computational biology in close collaboration with members