970 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "Univ" uni jobs at Nature Careers
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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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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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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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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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recruitment, and program management. She/He must possess strong analytical and problem-solving skills, with a demonstrated ability to develop and implement innovative solutions. The successful candidate is
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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 about career
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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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team! Your personal sphere of influence: The Oscar Morgenstern Doctoral School (https://oscar-morgenstern-doctoral-school.univie.ac.at) provides a cutting-edge scientific training for doctoral candidates
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currently recruiting for basic science FACULTY positions. We seek exceptional and creative scientists to lead an innovative laboratory-based research program using cutting-edge approaches in molecular
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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