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and motivated PhD student to join an interdisciplinary project that combines computational biology, spatial transcriptomics, and tumor modeling to understand how the aggressive brain tumor glioblastoma
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environment The Müller Research Group at the Department of Chemistry and Chemical Engineering of Chalmers University of Technology works at the intersection of physical chemistry and materials science, with a
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, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b
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the Division of Vehicle Engineering and Autonomous Systems (VEAS) , with some collaboration from the Division of Vehicle Safety. VEAS is a research division with close ties to the local vehicle industry
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to agreement. As a PhD student you will be enrolled in a highly qualified education within a thriving research environment. For more information about our PhD program, please visit our information page. You will
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engineering, computer science, physics engineering, or equivalent) Programming skills in Python or another language Strong work ethic Fluency in English, with the ability to write, communicate, and interact in
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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. The research program “Save the Ash”, managed by Skogforsk and SLU, aims to develop a more resistant population of European ash for the future. The PhD project will investigate the recent rapid decline in
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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application! At the Department of Electrical Engineering, Division of Automatic Control, we are now looking for a PhD student, to be admitted to the WASP graduate school. Your work assignments The research area