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LevelPhD or equivalent Skills/Qualifications PhD in Applied Mathematics, Statistics, Computer Science, Computational Science, Physics, Engineering or relevant field by the appointment date, or a closely
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functions, molecules, and technologies. We seek candidates who combine fundamental understanding of biological and biochemical systems with quantitative, computational, and engineering approaches to design
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to validate the tools against practical design requirements. The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning
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PhD students for the system development. Job Requirements: PhD degree in Electrical and Electronic Engineering, or related field. Good publication record. Have prior experience in conducting experiments
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enrol in the doctoral student programme at Chemnitz University of Technology. You will use your research results for scientific publications and your own qualification. This is a position for further
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21 Sep 2026 Job Information Organisation/Company Technische Universität Chemnitz Department Mechanical Engineering Research Field Technology » Production technology Researcher Profile First Stage
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risk management. Reliable numerical models can improve our understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you
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Engineering, visit rug.nl/fse . The successful candidate will join the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence within the Faculty of Science and Engineering at
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university, with expertise in one of the following disciplines: Biological Sciences, Medicine, Pharmacy, Chemistry, Physics, Mathematics, Computer Science & Electronics, Materials Science & Engineering
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BSc Metallurgy and PhD Electro-Metallurgy at Battersea College of Technology (Surrey’s predecessor) in the 1950s and 60s. The successful candidate will liaise with the trustees of the Littauer estate