245 parallel-programming "https:" "UNIVERSITY OF THE SUNSHINE COAST UNISC" Postdoctoral positions in Denmark
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. Strong skills in geospatial analysis. Strong skills in image analysis and machine learning. Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar
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systems. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Assoc. Prof. Leonardo Midolo
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. Read more here . Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development
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nahuro@sund.ku.dk . Applicants may find the following links useful: Copenhagen Health Complexity Center: https://www.healthcomplex.dk/ University of Copenhagen: http://www.ku.dk/english/ Department
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to academic and collaborative research activities in the group and with external partners. You will also contribute to educational activities in bachelor and master programs supported by the group. Your
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characterization of soft scaffolds with programmed morphological characteristics and tailored mechanical properties. The research will be supervised by Associate Professor Stavros Gaitanaros. As part of the project
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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on sociological and psychological factors. Read more here https://kiso.ku.dk/forskning/ , The postdoc’s duties will include research within cardiovascular physiology of menopause as well as teaching. The post may
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writing and orally in academic contexts and to the broader public (Danish is an advantage but not required) Present research results at international conferences Possibly contribute to teaching programs (in
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software skills Proven experience with CFD automation, e.g. using PyFluent or similar Python APIs for meshing, solver control, post-processing and data management. Solid experience programming in Python