130 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions at University of Southern Denmark
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Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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initiatives, as well as a wide range of research-related tasks such as qualitative data collection and analysis as well as writing academic publications. More information on “Digging for the Climate”: https
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. Project Description Dynamic assessment of bone and joint motion remains a major challenge in musculoskeletal imaging. While MRI and CT provide high-resolution anatomical information, they are limited in
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project is funded by the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based
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unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
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start to finish. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced
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advanced modelling and techno-economic analyses of a potential CO2 hub at Nybro, with a particular focus on: Symbiosis between data centers and solid sorbent direct air capture (DAC) systems Integration
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single‑photon detector (SNSPD). Additional responsibilities include developing efficient coupling of free‑space optics to optical fibers, conducting extended data‑taking runs with TES and SNSPD systems
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. Key activities include analysis of clinical and patient-reported outcome data, coordination of implementation studies in collaboration with ENT clinics, dissemination of results through peer-reviewed
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, timing, power, and sign-off) Hardware accelerator development for deep learning, edge AI, and data-intensive workloads Energy-efficient and high-performance accelerator design Hardware–software co-design