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Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz and Professor Helen Ford at the University
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Sciences at The University of Texas at El Paso (UTEP) invites applications for a non-tenure-track faculty position as a Research Assistant Professor in the areas of Genomics and Transcriptomics, starting in
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-tenure-track faculty position as a Research Assistant Professor in the areas of Proteomics, Metabolomics, and Lipidomics, beginning Spring 2026. The appointments will be for 12 months, and the position can
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of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
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of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Posting Details Position Information Job Title Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor Position Number 937330 Vacancy Open to All
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opportunity to support related lectures and coach our master students during their graduation research. Next to the PhD commmunity, your fellow team members are assistant and associate professors, lecturers
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are assistant and associate professors, lecturers, project managers, and postdocs with different nationalities. We share a drive to enable maritime operations of the future, harnessing our combined expertise
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of Bergen. About the project/work tasks: Pregnancy is a unique time of life where mother and child live in symbiosis. This relationship however induces multiple symptoms for mothers including nausea, vomiting
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robots Your work assignments The primary focus of this PhD student position is research on Vision-Language-Action (VLA) Models to control multiple heterogeneous robots. The research is led by Professor