282 evolution "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions in Sweden
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bioinformatics to investigate how genetic and lifestyle factors interact in the development of Parkinson’s disease and other alpha-synucleinopathies. The work may also include using existing and/or developing new
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excellent research, innovation, and education, we contribute to the development of future industrial value chains. In the division ofMaterials and Manufacture you’ll join a friendly, international team
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. This involves method development, large-scale computations, and simulations of complex systems where magnetism is coupled to atomic structure and atomic vibrations. As postdoc, you will principally carry out
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development towards an independent researcher is encouraged and supported. More information about the research group - www.bme.lth Subject description The project you will focuses on the fundamental aspects
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other qualifications This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be
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Protein structure in health and pathology Probing, imaging and manipulating molecular interactions in biology Your work may include clinical/biomedical projects. It will also include technique development
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weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Detailed
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qualifications Experience in research and method development in image processing in neuroimaging is an advantage. About the employment The employment is a temporary position according to central collective
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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023