298 cloud-computing-"https:" "https:" "https:" "https:" "https:" research jobs in Denmark
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Introduction The Department of Economics at the University of Copenhagen (UCPH, https://www.econ.ku.dk/ ) invites applications for a two-year postdoctoral position in econometrics and causal
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responsibilities We expect you to hold a master’s degree in computer science, social data science, or a closely related field, and to have at least one year of relevant work experience. Fluency in English and
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PhD degree in medicine, epidemiology, data science, complexity science, computational science, social science or other related sciences You have some experience with research related to health issues
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setups (cryostats, superconducting detectors). Experience in cleanroom nanofabrication workflows, especially e‑beam lithography or dry etching. Knowledge of quantum information science or hybrid quantum
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for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at https://employment.ku.dk/faculty
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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Job Description Migraine affects more than 15% of the global population and remains inadequately treated despite advances in biologics and receptor-targeting therapies. Emerging computational
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and