102 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Southern Denmark in Denmark
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across news outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD
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and information overview Mapping of key Nordic and international literature about transformation of health services. Compose strategy for literature review, overview memos and contribute to a draft of
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outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people perceive and
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of research designs and methods. Experience with relevant methods, such as data donations, automated content analyses, panel survey analyses, and in-depth interviews, is an advantage. Applications
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within SDU NAT's External Relations Team Coordination of SDU activities for the Center for Pharmaceutical Data Science Education , a cross-institutional initiative funded by the Novo Nordisk, Lundbeck, and
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decarbonization challenges at regional, national, and international levels. For more information about SDU LCE, please visit www.sdu.dk/lifecycle. Profile and Responsibilities We are seeking a highly motivated
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
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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
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according