458 computer "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions in United Kingdom
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an outstanding post-doctoral researcher to work on topics relating to high-energy astrophysics and accreting black holes in the research group of Dr James Matthews. Our overall aim is to better understand
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, and contributions to open-source software) and application of these methods to research problems in computational materials chemistry. You will also contribute to wider-ranging research activities
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into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling thin-film growth
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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are now looking for a postdoctoral researcher to support the Micro and Quantum Systems (MQS) research group in fundamental and applied research in quantum computing at Aalto University’s Electronics and
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. You will coordinate with another postdoctoral research associate, focused on computational modelling, and publish your research findings to achieve project goals. You will contribute to knowledge
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Location: Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme developing anatomy driven artificial
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/computational topology or algebra for biological systems and assist in organising activities relevant to this group. They will write up their results for publication, present papers at conferences and contribute
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data. The successful candidate will contribute to understanding how modern machine learning models...