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unique opportunity to work on a cutting-edge project involving multiomics data analysis of myeloma genomes, focusing on structural variants and heterochromatin rearrangements. You will have the chance to
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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for writing academic publications, including grant reports and publications. Required Qualifications • PhD in Mathematics, Engineering, or a related field with a background in statistical and mathematical
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, information science, education, political science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken and written English
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, management, information science, education, political science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in
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Sciences (Physik), Technische Universität München Startdatum: Oktober 2025 - ENGLISH: PostDoc and PhD positions in Quantum Simulation Theory, Positions: 2-3 years (PostDoc) & 3-4 years (PhD), Location
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Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics, or related disciplines and must demonstrate research
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term basis for 35 or 36 months from appointment. You will have a PhD (or about to obtain) in biochemistry, chemistry, cell signalling or related discipline. These roles are eligible for sponsorship under
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment