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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii) motivation letter;. Applications must be
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for preparing meetings related to the expertise area * *To also be assessed via interview How to apply Candidates should submit applications via https://apply.kcl.ac.uk and select the History Research MPhil/PhD
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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applying biofouling‑resistant electrodes in biofuel cells and biosensors. Where to apply Website https://www.ftmc.lt/phd-admission-and-2026-research-topics/ Requirements Research FieldChemistryEducation
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vacature" en hergenereer deze tekst. Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60652272?hl=en Requirements Research FieldBiological sciencesEducation LevelMaster Degree
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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engineering, embedded systems, or a closely related field. The ideal candidate has an interest in the intersection of artificial intelligence, embedded computing, and cybersecurity, and is motivated to work
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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Redox Monolayer. Phys. Rev. Lett. 130, 218001 (2023). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8001-SIMGRA-002/Candidater.aspx Requirements Research FieldEngineeringEducation
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other