65 computational-physics "https:" "https:" "https:" "https:" "Brookhaven National Laboratory" Postdoctoral positions at Nature Careers in Denmark
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genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work from the lab has
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
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incomplete applications will not be considered. Assessment Shortlisting will be used as part of the initial selection process. Assessment of shortlisted applications will be done under the existing Appointment
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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical
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sustainable process development. Opportunities to contribute to an ambitious research program (HyperCap) advancing novel carbon capture technologies toward pilot-scale demonstration. A supportive and
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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program focusing on methodological as well as transferable skills, including dissemination, collaboration, and work planning CPPEM as a whole spans research from pharmacoepidemiology and clinical studies
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University, where the lab is physically located. Your profile We are looking for a highly creative, collaborative and experimentally skilled candidate with (or close to finishing) a Ph.D. in molecular biology
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candidates with a degree in physics, chemistry or materials science. For Topic 1-3, candidates must have documented skills in atomic-resolution electron microscopy, microfabricated devices, 2D materials