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techniques—including vision-language architectures (e.g., CLIP, BLIP), fine-tuning large language models for clinical NLP, and self-supervised contrastive learning—the models will learn to effectively combine
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 9 days ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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12 Nov 2025 Job Information Organisation/Company Universitat Politècnica de València Department Instituto ciencia y tecnologia animal Research Field Agricultural sciences Architecture Engineering
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PhD Positions Country Spain Application Deadline 15 Dec 2025 - 23:00 (Africa/Abidjan) Type of Contract Permanent Job Status Full-time Hours Per Week 7,5 Offer Starting Date 1 Dec 2025 Is the job funded
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The postdoc will join a world-leading research environment at the Chalmers Security & Privacy Lab as a member of the CryptoTeam . The Crypto Team currently has two faculty members and four PhD students
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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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architectures and devices. The group is looking for a Postdoctoral Researcher to participate in the development of a BBVA Fundamentos project (Reticular enzyme-like catalysis; RETICAT) related to achieving a
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12 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Biological sciences » Biology Biological sciences » Other Computer science » Programming Medical
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP