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5 Sep 2026 Job Information Organisation/Company University College Dublin Research Field Computer science » Other Computer science » Other Researcher Profile Recognised Researcher (R2) Application
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
Biological sciences » Biology Medical sciences » Medicine Engineering » Biomedical engineering Technology » Biotechnology Chemistry Computer science Engineering Biological sciences Biological sciences
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. Qualifications To qualify for the DOE OREM Science Education and Internship Program, you will need to meet the following eligibility criteria at the time of application: Be a U.S. citizen at the time of
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in CSlib’s steering and technical leadership . Whom we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer Science or Mathematics. An ideal
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between
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Quantum Information Science and Engineering Theory Postdoctoral Associate Yale University: School of Engineering and Applied Science: Applied Physics: Yale Quantum Institute Location New Haven, CT
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SPECIFICS Postdoctoral Scholar (Computational Proteomics/Mass Spectrometry) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University
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Researcher (R2) Positions PhD Positions Application Deadline 5 Oct 2026 - 00:00 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 3 Sep 2026
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Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention to detail and follow-up skills Strong customer service skills and phone and e-mail
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic