26 machine-learning-and-image-processing positions at University of Basel in Switzerland
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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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offerings is the LabKey data management environment that integrates data and metadata from various university platforms such as genomics, proteomics, biobanking, and imaging, along with structured data from
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machine-learning-based exposure model, forming the basis for epidemiological studies linking UFP exposure to health outcomes.
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explaining urban change in Hong Kong and Taipei exclusively in terms of tiger economics or the developmentalist state, beyond techno-positivism and growth machine dogmas, ASPIRA recognizes defiance as the
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collaboration among scientists, IT professionals, and other stakeholders involved in the research process. To achieve its goals, the R-IT group invites applications for a R/Python scientific support role
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deliver tailor-made training; support legislative and institutional reform processes; and work with other international organisations to advance innovation and global policy dialogue on asset recovery. Our
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of the environment, including the role of humans, is as important as understanding the variety of processes in Earth and human history. The University of Basel has an international reputation for its outstanding
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project examines the key processes, actors and cultural accommodations that drove unprecedented levels of natural resource consumption in industrial societies in the 20th century. Offering an innovative new
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Your profile The ideal candidate is detail-oriented, with a strong interest in learning flow cytometry techniques and a genuine curiosity about life sciences. They are eager to support the research
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about the online application process, please contact the Office of the Dean (dekanat-philnat@unibas.ch). We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please