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relevant Engineering qualifications Candidate should initially contact Prof Alastair Stacey to investigate suitability of the project Candidate should initially contact Prof Alastair Stacey to investigate
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, investigate error mitigation techniques Cooperate and actively work with international collaborators Your Profile: Master’s degree in physics, mathematics, or computer science Strong interest in both developing
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or a related field with a focus on cognition such as anthropology, archaeology, biology, or cognitive science. For admission to the doctoral programme, grade B or above for the master’s thesis is
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will be highly collaborative, and you will have the opportunity to learn from our highly supportive and skilled research group. The project will be primarily supervised by Prof Laurie King
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Technology) Dr Riemer Vegter (YAG, UMCG, Assistant Professor in Human Movement Sciences) Prof. Martijn Wieling (Faculty of Arts, Professor of Groningen Language and Culture) Prof. Han Houdijk (UMCG, Professor
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cooperation with your supervisors within the research program of the RTG. Your academic qualifications: Completed scientific university studies in a relevant subject of Natural Sciences and/or Engineering
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, and determined candidates, who meet the following requirements: An MSc degree (or an equivalent university degree) in (Bio)chemistry, Biotechnology, Computational Chemistry, Synthetic Chemistry/Biology
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collaboration with Prof. Bryce Richards (IMT). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology
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with Prof. Dr. Bryce Richards who leads the Nanophotonics for Energy group (IMT & LTI). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I
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to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please