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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 5 days ago
First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Offer
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a PhD degree in Physics Engineering or closely related field, obtained in the last three years before the application to this grant; b) The Post-doctoral research be carried out at a host institution
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publications can be found here: https://pubmed.ncbi.nlm.nih.gov/?term=shellman+y&sort=pubdate&size=50 Key Responsibilities: Conduct tissue culture, molecular and cell biological experiments Perform microscopy
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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Science and Systems Posting Number P260054 Posting Link https://www.ubjobs.buffalo.edu/postings/61570 Employer State Position Type UUP Professional Professional Appointment Term Term Salary Grade SL1
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of Microbiology and APC Microbiome Ireland in University College Cork. More information on our research can be found on our lab webpage https://www.browne-lab.org/. Please contact Dr. Hilary Browne hilary.browne
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into consideration. The area of the PhD degree is expected to be computer science but related topic areas in the engineering or mathematics fields can be considered together with extensive experience in software
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depending on the candidate’s experience and qualification. Candidates should have a PhD in Chemistry, Chemical Engineering, Bioengineering, Immunology or a related field. We welcome applicants with recent
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor