977 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "UNIV" uni jobs at Nature Careers
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(see https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service for more information). Candidates with disabilities and essentially equivalent qualifications will be given
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contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion For more information
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DIAS Assistant Professor in Cognitive psychology, Clinical psychology, or Health psychology ved I...
foci and education program, see https://www.sdu.dk/en/om-sdu/institutter-centre/institut_psykologi Living and working in Denmark Foreign applicants will be offered Danish language training as part of
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applications for a tenure-track position at the rank of Assistant Professor in the area of Cancer Immunology. We seek outstanding candidates whose research program investigates fundamental and translational
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are expected to perform research and teaching in the following areas: Mathematics, Physics, Chemistry, Materials Science, Energy Science, Energy Engineering, Optics, Computer Engineering, Integrated Circuits
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details about the program are available here: https://arcinstitute.org/programs/science-fellows Additional details about this year's search are available here: https://arcinstitute.org/programs/search
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the development of computational analysis pipelines. Collaborate with research groups to bring projects to completion, including preparation of manuscripts for publication and presentations at scientific
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can think on their feet. We are looking for a candidate with experience in computational neuroscience or neuroimaging. The responsibilities include: Handling original research papers, and working
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Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy