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of learning with limited data and computational resources, pertinent in areas such as autonomous systems, online resource allocation, and complex decision-making processes. Main Responsibilities: Conduct
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your background and experiences align with the requirements of this project Detailed Curriculum Vitae (CV): The CV, should include, if applicable, a list of publications; Bachelor and Master transcripts
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PhD position Facilitating the co-creation of sponge measures and strategies in European river basins
, including a list of all courses attended and grades obtained, the title and resume of your bachelor and master thesis, and extracurricular activities. If applicable, a list of publications. Please also
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to staff position within a Research Infrastructure? No Offer Description The main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy
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selection, candidates must not have resided or carried out their main activities (work, studies) in the host institution's country for more than 12 months in the 3 years immediately before recruitment. Be a
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and master thesis. If applicable, a list of publications. Please also include the names, functions, and contact details of two referees whom we may contact. An IELTS-test, Internet TOEFL test (TOEFL-iBT
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researchers to present and publish their results at international conferences and in reputed journals. Requirements Specific Requirements MSc (masters) degree in Mechanical Engineering or equivalent, preferably
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our multidisciplinary team at the University of Twente, The Netherlands for an exciting project. Ideal candidates have a Master's in Biomedical Engineering, Molecular Biology or a related field, with a
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with new concepts and doing original research but you are of critical approach to evaluating experimental findings. You are fluent in English. You are a team player. Additional Information Benefits
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ThermoFisher Scientific. The main research objectives are: Conduct research in calibrating AI, including but not limited to designing and implementing calibrated deep neural models, conducting experiments