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approaches, DMG-ADAPTS aims to identify, predict, and ultimately anticipate tumour vulnerabilities and therapeutic responses in real time. As a key contributor to the ADAPTS program, the candidate will develop
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funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number GAP-101219676 Is the Job related to staff position within a Research Infrastructure? No Offer Description Expected
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 3 days ago
/or life sciences to solve pressing biomedical needs and translate your findings to impact medical practice and improve healthcare? Are you excited to develop and apply cutting-edge machine learning
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Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description What
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. International Excellence – Programme Goals The Centre supports academic exchange across existing boundaries: between disciplines, between different cultures and countries, between established and younger
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University of Bayreuth Centre of International Excellence “Alexander von Humboldt” Starter Grant Programme 2027 Call for Applications Application deadline: 15 September, 2026 The University
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
Do you want to launch your scientific career by developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute
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Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We
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Positions Application Deadline 23 Aug 2026 - 22:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by
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contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation