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Job Description We are looking for a highly skilled and motivated scientist for our program within PROTACs for inflammatory targets. You will join an international team working on developing technologies for treating infectious diseases. We are looking for a creative mind with excellent...
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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 Postdoc in Neuroimmunity in Parkinson’s disease Employer
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of Immunology as per 1 October 2026 or as soon as possible
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National Taiwan Normal University | 2 months ago
potential collaboration with faculty and students at NTNU, the successful candidate will also be able to join NTNU's Center for Astronomy and Gravity. Academic Sinica and the National Taiwan University
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Postdoc in far-infrared semiconductor electronics Reference number REF 2026-0095 Do you want to contribute to groundbreaking research in the field of far-infrared receivers? This is an exciting
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Postdoc in Theoretical Philosophy (3 years) Login and apply This content is hosted by a third party. By showing the external content you accept the cookie terms and conditions of www.youtube.com Lund
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Login HOME JOBS SPONTANEOUS APPLICATION Taal English (United Kingdom) Nederlands (Nederland) View profile Employee Login HOME JOBS SPONTANEOUS APPLICATION Apply now » PhD Photonics Engineering Category
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Physics-Informed Symbolic Distillation for Domain-Specific Vision Applications (S3.5-COM-dos Santos)
Physics-Informed Symbolic Distillation for Domain-Specific Vision Applications (S3.5-COM-dos Santos) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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, including discrete and continuous decoding of hand and finger activity Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task