362 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Denmark
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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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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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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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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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As research assistant, your primary tasks are full time laboratory work and data analysis. You contribute to the development of the department through research of high international quality. In your
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity
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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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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling