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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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the following areas desirable but not essential: electrocatalysis, rheology, coating technology, machine learning Intrinsic motivation to show initiative, creativity, and to work independently Excellent
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of field installations - Contribute to supervision, teaching, and research proposals Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil
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will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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twins, human-centric systems, robotics PhD-E: Optimizing Images Quality and Deep Learning Methods for Vineyard Disease Detection. PhD grantors: University Padova (IT) & Poznan University of Technology (PL
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Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant
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Department of Chemical and Biological Engineering Posting Number P260025 Posting Link https://www.ubjobs.buffalo.edu/postings/61152 Employer State Position Type UUP Professional Professional Appointment Term
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, access, inclusion, and belonging relative to their role Requirements: Minimum Qualifications: PhD in Electrical, Computer, or Electrical and Computer Engineering or a closely related field from a college