61 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at Aarhus University in Denmark
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to diversity and inclusion, and success in mentoring. Place of work The place of work is the Department of Food Science, Aarhus University, Agro Food Park 48, 8200 Aarhus N, Denmark. Contact information
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Neuro-1 OPM-MEG system, along with computer-controlled visual and auditory stimulus presentation. The postdoc will also work with data from state-of-the-art fetal ultrasound imaging systems. The Center’s
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. In Viborg the place of work is Blichers Allé 20, 8830 Tjele. The area of employment is Aarhus University with affiliated institutions. Contact information For further information, please contact
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geological interpretation of large-scale EM data for groundwater mapping. Teaching and training Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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as of that date be with a department Contact information For further information, please contact: Prof. Alfred Spormann, aspormann@inano.au.dk.
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; mepage.faculty.ucdavis.edu ). Simonsen will be the main advisor to the PhD student. Her research studies policies that directly or indirectly affect children’s outcomes and she is an expert on the Danish administrative data
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ability to perform research and teaching management tasks. Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities
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perspective. Moreover, there will be an assessment of the applicant’s ability to perform research and teaching management tasks. Further information on the appointment procedure can be found in the Ministerial
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will