183 computer-security-"https:"-"https:"-"https:"-"https:"-"DTU-Electro" positions in Sweden
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large PhD programme and co-ordinates two international Master programmes. The Department has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with
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measures, human services organizations, and professions. The School of Social Work offers a number of programs and courses at the undergraduate, advanced, and postgraduate levels. The social work program has
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to 20% of their time, thereby prolonging the duration of the program to guarantee four years of graduate studies. More information about doctoral studies you can find here: www.umu.se/en/usbe/education
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part of the position. Duties As a doctoral student, you will primarily dedicate time to your own studies. The doctoral programme comprises 240 credits for a Degree of Doctor and 120 credits for a Degree
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
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practice. UMA offers a five-year Architecture Programme and a Master’s Programme in Architecture and Urban Design, with approximately 300 students from Sweden and abroad. The school fosters experimental and
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programme. Collaborating with external partners on the practical and administrative coordination of research projects. Supporting PhD and postdoc research presentations and exhibitions. Writing newsletters
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supervisors, aligning with your expertise and the needs of the program. Core tasks include study design, data acquisition, analysis, and interpretation of imaging data. Work responsibilities An appointment as a
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Description of the workplace At the Faculty of Medicine, Lund University, the successful candidate will join a highly interdisciplinary research environment at the interface of translational cancer biology, analytical chemistry, evolution, and data science. The workplace offers access to...
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features