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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD Position in Physical AI: Adaptive Foundation Models
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Doctoral student in physics-guided foundation model for time-series data Reference number REF 2026-0434 Join us to develop physics-guided, data-driven foundation models for multivariate time-series
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PhD scholarship in computer science under the umbrella of the Danish Foundation Models initiative . The proposed starting date is 1 October 2026 or soon thereafter. The appointment will be made for a
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
Scholarship in Medicine, supported by the McCall MacBain Foundation. The objective of the Award is to provide supplementary financial assistance to support Indigenous students enrolled in the Doctor of
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Eligibility and selection criteria Eligibility Applicants must: be approved for an Overseas Semester Exchange in Semester 1, 2027 to any Swinburne partner university . Enrolment criteria Applicants must be: a continuing second year or above Swinburne student in Semester 1, 2027 studying any...
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="https://www.dkfz.de/en/?mtm_campaign=phd&mtm_kwd=pdg">German Cancer Research Center (DKFZ) with its core site in Heidelberg invites international students that either already hold or will soon
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, and physics-informed machine learning open new possibilities for establishing grid foundation models. However, it is still unclear which model structures is most capable and suitable, how well they
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden-Württemberg | Germany | about 2 months ago
Software Developer / Computer Scientist (m/f/d) specialised in AI and Machine Learning EDV & Informatics Heidelberg Astronomy & Astrophysics Job Code: 421 Job Offer from August 01, 2026 The Max
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relevant decision-making. The candidate will contribute to the development of foundation models for sequence data and patient trajectories, representation learning approaches for microbial genomes and
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, RWTH Aachen University, Aachen, Germany ( https://www.particle-theory.rwth-aachen.de ). Applications from qualified women are strongly encouraged. Applicants with disabilities will be given