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Research Infrastructure? No Offer Description ONE POSITION REMAINING - ONLY PROJECT 5 IS OPEN! Fully funded PhD position in Computational Neuroscience IndiBrain (Characterizing Individual Differences in
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Mobile Computing for Intra-Oral Sensing
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-time 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 PhD position
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for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic
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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 This call establishes the procedure
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Skłodowska-Curie Actions (MSCA) COFUND scheme (Grant Agreement No. 101216514). Call for PhD Applicants The RAMP-UP Doctoral Programme is launching a special call for one fully funded PhD position at Hannover
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cycle (Academic Year 2026/2027) of the PhD Programme in Civil, Environmental and Mechanical Engineering at the University of Trento (Italy). Positions: no. 14 Scholarships: no. 14 Where to apply Website
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 2 months ago
funded 4-year PhD position Starting date: Fall 2026, with 1 October 2026 as earliest possible start date Candidate profile. We are looking for candidates with a strong interest in computational chemistry
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for the position, the following degrees, competencies and experiences are considered meritorious: • Hold a Master’s degree in computer science, AI, ML, data science, or equivalent subject. • Demonstrate proficiency
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures