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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 9 hours ago
fellowship Job Status Full-time Hours Per Week 35 Offer Starting Date 27 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI
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full aircraft engine, running on the UK’s supercomputing services. There will be both engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency
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would be doing: You will plan and conduct research, helping you refine your research interests and identify which area best aligns with your clinical background and long-term academic goals. In parallel
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities
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expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials