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the PhD project. Qualifications: The applicant must hold a master’s degree in Robotics, Engineering Cybernetics, Automation, Mechatronics, Electrical Engineering, Computer Science, Machine Learning, or a
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programme at the Faculty of Humanities and education. More information is to be found here (in Norwegian): https://www.uia.no/studier/program/phd-program-i-humaniora-og-pedagogikk/ Required qualifications
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competencies. Optional: A letter of support from your current institution. Please apply online by 15 January 2026: https://biped.biozentrum.unibas.ch/apply/fellowship-for-clinicians Review of applications will
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Foundry. Qualifications PhD in immunology, developmental biology (focused on the immune system), immune-engineering, or a related field (obtained within the last 5 years). Strong background in T-cell
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candidates holding a PhD degree in Computer Engineering, Data Science, Computer Science, Electrical Engineering with a strong computational background, or related scientific areas. Proven research experience
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, of 18 August, in its current version and the FCT Regulation for Research Studentships and Fellowships, in its current version (Reg. 950/2019 published in DR on 16th December: https://dre.pt/application
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requirements: Master’s degree or equivalent preferably in machine learning or equivalent fields. A Master’s degree in computer science/statistics/applied mathematics/electrical engineering can also be considered
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Honours degree in Computer Science/Mathematics/ Electrical and Electronic Engineering (or related discipline) Have, or be about to obtain*, a PhD in a relevant subject (must be obtained within 3 months
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 17 days ago
at a PhD programme at the time of contract signing. Additional Information Benefits Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (https
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computer science/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign