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, robotics and automation security, Building Information Modeling, technology integration, or other related topics that support the secure digitalization of the built environment. Applicants must hold a PhD in
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offers the opportunity to build and lead a dynamic research team in a stimulating and internationally competitive environment. As Principal Investigator (PI), the successful candidate will develop and
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Department of Physics Clarendon Laboratory University of Oxford OX1 3PU Fixed term for 24 months with the possibility of extension The University of Oxford is a stimulating work environment, which
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/schools For an informal discussion to find out more about the role then please contact Jessie Woodbridge: by email at [email protected] You will have: A PhD in palaeoecology, environmental
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Postdoctoral Research Assistant Fixed term for 24 months with the possibility of extension The University of Oxford is a stimulating work environment, which enjoys an international reputation as a
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and Prof. Maria A. Spyrou. Salary will follow the German public service scale TV-L E13, 100%. Applicants must hold a PhD or equivalent degree in archaeological sciences, archaeogenetics, population
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close collaboration with a deep-tech startup. You will work in an internationally recognized research environment with access to state-of-the-art cleanroom facilities and collaborate with leading academic
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occasional light teaching support expected, including assisting in one course per year and possibly mentoring of students. Candidates must hold a PhD degree in Mathematics or Theoretical/Mathematical Physics
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
dedicated technical expertise at MPI-CBG. Essential qualifications Doctoral degree (PhD) in Molecular Biology, Biochemistry, Cell Biology, Epigenetics or a related life-science field. Demonstrated experience
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models