95 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions at Aarhus University
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study
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with teamwork in a great team Additional information Your place of work will be the AU International Centre at Høegh Guldbergs Gade 4a in Aarhus. The position is paid according to state agreements. Who
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conducting various types of experiments on seeds of diverse crops. Experience of image analysis, and analysis of seed longevity and germination data will be an advantage. You should have good organizational
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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highly skilled employees. More information can be found here . What we offer Work with advanced analysis equipment An exciting interdisciplinary environment with close collaboration between laboratory
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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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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
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data. We also offer a great mentoring experience, a collaborative environment in which the candidate will be able to share across subfields and applications, and a research environment characterized by