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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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outlining how you would approach the project, and an up-to-date CV. Under programme name, please select 'Architecture, Building and Civil Engineering'. Please quote reference RAINDROP-CH. Only applicants with
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: Prof. Walter Karlen Location: University of Ulm, Germany Duration: 3 years Start date: August 2026 at latest The PhD position is based at the Institute of Biomedical Engineering at the University of Ulm
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expertise in other areas listed above are welcome to apply. Applicants must have a PhD in Astronomy, Physics, Computer Science, Engineering or a related field, or have satisfied the requirements for PhD, by
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: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial Intelligence, Machine Learning, and Natural
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. Desirable Prior Experience Previous experience working in the field of microbial genomics, bioinformatics or computational biology would be desirable How to apply This project is offered as part of the Centre
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within the centre for Crop Systems Analysis (CSA) at Wageningen University. PhD position #1 will be supervised by Dr Luuk Croijmans, Dr Dirk van Apeldoorn, and Prof Dr Niels Anten. PhD position #2 will be
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needs (including ABET support as appropriate). Requirements: A Ph.D. in Manufacturing Engineering or related fields, including Industrial, Mechanical, Aerospace, Electrical Engineering, and Computer Science
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Master’s degree. All applicants should have a background in molecular biology, biochemistry, microbiology, or computational science. Further information about available projects can be obtained by email to
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Job ID: 11548 Fixed term of 3 years | Part-time with 65 % | Salary according to TV-L | IfGH-Cellular Electrophysiology and Molecular Biology We are UKM. We have a clear social mission and, with our