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aims to provide mathematical models of decontamination processes and is funded by the Defence Science and Technology Laboratory (Dstl). The approach to mathematical modelling is multifaceted, with
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qualitative social science research, such as literature reviews, surveys, interviews, thematic analyses, researching and writing up case studies, data presentation, etc. Candidates also proficient in
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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52 Faculty of Chemistry Startdate: 01.09.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2028 Reference no.: 4195 Explore and teach
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should have a recent doctoral degree in electrical engineering, control engineering, or a related field. For the physics-informed AI position, a doctoral degree in computer science or applied mathematics
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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and
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, AFM, etc.), tribological testing, corrosion testing, and assessment of performance and durability data. About You: To succeed as the PDRA, you should; Hold a PhD in materials science, materials
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technology and innovations and work flexibly across laboratories as required. Analyse and record data to aid the design of future research Take responsibility for self-development and on the job learning
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion