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. Qualification requirements Requirements are: A PhD, or an international degree deemed equivalent to a PhD, within numerical analysis, scientific computing or similar. The PhD must have been awarded when
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qualifications: PhD degree in computational science, computational biology, or equivalent Master’s degree in biomedical engineering or equivalent Experience of using various data sources (radiological images
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. Subject description Forests play an important
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researchers, teachers, and other staff engaged in education and research in economic history, business administration, business law, informatics, economics, and statistics. The School of Economics and
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cluster is part of The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), which is a national research program in Sweden. The vision of WASP-HS is to foster novel
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. The Regenerative Immunology lab is currently composed of three PhD students, three postdoctoral fellows, one MS student, and one animal technician. The lab resides within the Division of Molecular Medicine and Gene
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of bachelor and master degree projects. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within
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, computer science, medical physics or other field relevant for the project. The PhD degree must be completed no later than at time the employment decision is made. The ability to develop and perform high-quality
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to this research. You are expected to attend project meetings and present results at scientific conferences. Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep