616 parallel-computing-numerical-methods-"Multiple" Fellowship positions in United Kingdom
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physics, the development of innovative analytical and numerical methods, strong research outputs, and active contribution to the Centre's collaborative research environment. Qualifications Required PhD in
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learning frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience inscalable data processing, including the use of parallel computing, cloud platforms,and distributed systems
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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/10.14379/iodp.proc.399.104.2025 ), combined with numerical modelling of PHHSs. About the role You will combine quantitative petrographic and petrological techniques (SEM-QEDS) with state-of-the-art, in-situ
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contract up to August 2027 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research
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We are seeking a collaborative and self-motivated computational post-doctoral fellow to work on cancer cachexia in a vibrant and highly collegiate environment. The candidate will be expected to make
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the computational work. If you are looking for a role that will provide new knowledge on a very important membrane protein, apply today. As Research Fellow your main duties will include: Working with and in support
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python