264 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Denmark
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sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons for applying, qualifications
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, public administration, or a related field. Who we are The position is part of the POLSAFE project, led by Jesper Asring Hansen, Associate Professor at Aalborg University (profile: https://vbn.aau.dk/da
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scientific staff and 85 PhD students. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus University offers a
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(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU for more than 12 months in the 3 years before 28
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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be to: Conduct multidisciplinary research (as explained above) Teach (and design) BSc and MSc courses, Supervise BSc and MSc student projects, Supervise PhD students as a co-supervisor for PhD students
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
candidates regardless of personal background. Application deadline: 1st of May 2026 at 23:59 hours local Danish time Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1
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. For further information about the school, please see http://cas.au.dk/en/ . For more information on the Locally Crafted Empires project, please see https://projects.au.dk/locally-crafted-empires
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@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
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of extrusion systems, reinforcement strategies, construction detailing, and construction scale experiments. RA3) Machine Learning and Optimisation for Digital Construction: Data-driven and simulation-based