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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict
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application website . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The Bayreuth International Graduate School
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Together Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1 PhD in a relevant subject area, or a veterinary degree registerable with the RCVS, or an equivalent
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
is focused on the interface between human senses and perception of food and contribute to designing healthy and sustainable food and beverage applications with high consumer acceptance. The position is
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed
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for publication. To be successful, you will have a PhD in computational neuroscience, cognitive neuroscience, physics, applied mathematics or a related discipline. You will have research experience, ideally in a
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origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Electrical and Computer Engineering Minimum Requirements The minimum qualifications are a PhD in electrical
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-augmented AI tools Interfacing AI tools with experimental facilities at CNM and Argonne Key Responsibilities Research leadership (50%) Develop and lead an independent and collaborative research program in