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quantitative and psychometric expertise. Together they will deliver the analytical depth, methodological breadth and research capacity needed across the multi-year programme, while also building early-career
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and research capacity needed across the multi-year programme, while also building early-career researcher capacity and a pipeline towards external research income. This post will report directly to the
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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are to communicate with any internal or external parties to ensure project deliverables are met. Any other ad-hoc duties as assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in
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. The Research Fellow will contribute to an ambitious international programme combining stakeholder evidence, organisational case studies, AI-enabled research tools, co-creation and policy-relevant outputs
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engineers, computational scientists and other stakeholders and policy makers. FortranFuture will strengthen the existing community of practice, establish an interdisciplinary research network, undertake
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16 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Biological sciences Computer science Physics Chemistry Researcher Profile Recognised Researcher (R2) First
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Deadline 23 Jul 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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research excellence. Methodological capability (qualitative, quantitative, mixed methods, computational, or design science) suitable for high-quality research and publications Experience of collaborative and
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fundamentally new alloys for extreme environments across nuclear fusion/fission reactors, aerospace gas turbines and concentrated solar power. This involves: (1) Alloy Design, supported by computation methods; (2