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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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will also: Hold a PhD or equivalent in a relevant Physics, Chemistry, Materials Science, or related discipline. Experience of solid state synthesis of polycrystalline transition metal oxides materials
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We are seeking a motivated and Talented experimentalist for a full-time Research Assistant in Quantum Thermodynamics within Professor Ares’ research group at the Department of Engineering Science
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. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model
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will have a PhD (or close to completion) in engineering, materials science, physics or other closely-related disciplines. You will be a highly motivated and responsible researcher with strong curiosity
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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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personality: Master in Computer Science, Applied Mathematics or equivalent qualification with a strong focus on Computer Science with excellent marks. PhD with focus on data mining Strong publication record
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for Smart Cities: Developing responsible and innovative AI-driven urban solutions. Data Science and Digital Transformation: Enhancing efficiency, sustainability, and resilience in urban development. Healthy
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for Two Postdocs in
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, including the general public. The successful candidate will hold a PhD in Biochemistry, experience in structure and biophysics-guided drug discovery, and in relevant methodology such as X-ray crystallography