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Qualifications / Discipline: Graduating PhD or recent PhD holder specializing in optimization. Skills: Advanced knowledge on nonsmooth analysis, Riemannian optimization, nonconvex optimization theory and
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life. The position will be open from 1 July 2024 initially for three years with optional extension. Qualifications • PhD in Materials Science or a related discipline is required. • Prior experience in
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August 2024. In this recruiting cycle, we are looking for candidates in all areas, including Organisational Behaviour, Human Resource Management, Motivation or Leadership, with PhDs in the related
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improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD
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, with the possibility of extension. PhD holders with no experience are welcome to apply. Ideal candidates will possess expertise in microbial engineering and the development of cell factories
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for application of research outcomes; Contribute to knowledge exchange activities with external partners and collaborators; Requirements A PhD in Computer Science, with specialization related to machine learning
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applications. Job Requirements • A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Electrical Engineering; • Good publication record
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learning, multi-armed bandits). Each position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer
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contribution to research in sphere 3 on regulation and policy considerations for building trust and digital resilience. Qualifications Applicants must have a relevant PhD before starting the position. The ideal
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expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply. • PhD in electrical engineering