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to join the Mathematics of Computational Science (MACS) group within the Department of Applied Mathematics at the University of Twente. The successful candidate will work under the supervision of Dr. Tomasz
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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
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impairment across tissues and brain regions. The ideal candidate will have a quantitative background (bioinformatics, computational biology, biostatistics, statistics, computer science, or applied mathematics
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master's degree in agricultural or environmental economics, applied mathematics, or a related fieldGood background in bio-economic modelling, CGE modelling, and optimization techniquesExperience with
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background in at least one of the following areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Mathematics, or a related field. The
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://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended until 30/11/2030 Work pattern: Full time Grade: J Salary: £43,482 - £50,253 per annum pro rata School/Unit: Engineering Mathematics and
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at the Masters and PhD level develop and strengthen teaching and mentorship experience Applicants must have, or be about to obtain, a PhD (or equivalent) in applied mathematics, physics, engineering, or a related
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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focus on using applied mathematics and AI methods to address real-world challenges. What we’re looking for You will hold a PhD in mathematics or a related discipline and be able to demonstrate previous
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About the role We are seeking a Teaching Fellow in Engineering Mathematics and Computational Methods to support in the delivery of our education programme in the School of Engineering. The School