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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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to ensure the application of best practices. Job Requirements: PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field
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Competencies: PhD in molecular biology, immunology or related disciplines Previous experience in one of the following areas: Human iPS/ES cells, CRISPR genome editing Animal models of disease Bacterial/viral
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. Develop algorithms for continuous knowledge transfer and compositional reasoning to facilitate efficient learning of new tasks. Help supervise PhD, master and undergraduate students. Job Requirements: PhD
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providing monthly report Job Requirements: Candidates with a PhD background in biology and/or Materials Science, or nanoparticles formulation and characterisation, nanomedicine, in vivo experiment
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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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experiments to gain insights on project-related research questions Presenting research results to collaborators at scientific meetings or producing reports/ publications Job Requirements: PhD in
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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