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. in computer science, medical, health informatics, or other related field. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a
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projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and eye disorders. The De Paola Lab at Duke-NUS
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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the application form, which is limited in the number of characters it will allow.) Interviews: 4th and 5th of August 2025. About you The successful candidate must hold a PhD in mathematics or computational biology
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and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and