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engineering or a related field; strong skills in data analysis, machine learning or computational modeling, preferably applied to neuroimaging data; experience with programming and data analysis (e.g. Python
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
22 Dec 2025 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Civil engineering
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21 Dec 2025 Job Information Organisation/Company CNRS Department Cognition, Langues, Langage, Ergonomie Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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of the applicants will be made by Assoc. Prof. Martin Nielsen and Prof. Sebastian Meier and Head of Section Prof. Søren Kegnæs (DTU Chemistry). We strongly prefer to receive applications that have been drafted by
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scientific machine learning-based strategies for the discovery of self-similarity laws, use of quantised local reduced order models, and real data assimilation. You will be assimilated, jointly
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2 Dec 2025 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile First Stage Researcher (R1) Positions Master Positions Country
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for scalable, data-rich design and operation frameworks within diverse building contexts. For project-specific enquiries please e-mail Prof. Dongfang Liang, dl359@cam.ac.uk . For general enquiries, please email
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Prof Biggs’s group at HWU, gaining complementary expertise in interfacial engineering and simulation. The project includes opportunities to present at international conferences and to collaborate with
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clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital