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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI
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to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral researcher) at the Centre for Childhood and Youth Research (CCY) within the Department
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of Probability Theory and Statistics A taste for the theory of Mathematical Statistics and its applications Dedication to doing Mathematics at a research level Proficient in English We offer Multilingual and
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to the HEXAPIC project Carry out research in the predefined areas Disseminate results in top scientific venues Providing guidance to PhD and MSc students Participating in proposal writing Participating in teaching
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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topics: Contribute to the HEXAPIC project Carry out research in the predefined areas Disseminate results in top scientific venues Providing guidance to PhD and MSc students Participating in proposal
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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cryptanalysis Side-channel attacks and countermeasures Contributing to the teaching activities of the group (max 90 hours/year) Providing guidance to PhD and MSc students Disseminating results through scientific
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may be extended for a further year to include the quantification of 107Pd and 126Sn. You have a PhD in analytical chemistry. You have : - Laboratory skills in chemical analysis using ICP-MS. - Skills in