15 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral research jobs at University of Copenhagen
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degree in remote sensing, geoinformatics, computer vision, AI or related fields. Candidates with a solid understanding of satellite images, spatial analyses, machine learning and deep learning. Candidates
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. Observational experience/expertise to compare computational results with data from (sub)mm observations, especially ALMA, are highly appreciated. Expertise in applying machine-learning techniques is an additional
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well as teaching. Further information on the Departments is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ and https://www.aqua.dtu.dk/english/ . Inquiries about the position can be
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who teach up to 20% of their working hours, to participate in the Teaching and Learning in Higher Education program (without hourly compensation). Qualification requirements The successful applicant
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here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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the department. Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to prof Albin Sandelin, albin
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within the project’s scope and may also contribute to teaching and supervision within the department. Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty
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the project’s scope and may also contribute to teaching and supervision within the department. Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation
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. Learn more about The Faculty of Science at www.science.ku.dk You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ .