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We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and
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Description Your Responsibilities We are looking for a highly motivated PhD student in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI
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candidate, you carry out research in the framework of this project and according to a set of tasks linked to this project. You will also follow the Faculty of Arts PhD training programme, see https
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addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability
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-organized. if you are a team player. We offer you: a world-class infrastructure and international work environment. a 4-year PhD position, starting earliest by 01.07.2026. a gross salary up to 65% E13 TV-L
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 19 days ago
Recognised Researcher (R2) Positions PhD Positions Application Deadline 4 Dec 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer Starting
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15th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Responsible Innovation and Social Knowledge in Artificial Intelligence Apply
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Group (CAG) entitled “Patient-tailored management of bacterial infections in the age of antimicrobial resistance”. The position is for a period of four years. The nominal length of the PhD programme is
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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PhD studentship in Computational Physics and Chemistry, University College London, UK A 4-year PhD studentships is available to work under the supervision of Prof Jochen Blumberger at the Condensed