1,225 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Nature Careers
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their passion and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30
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have experience in diagnostic hematopathology and flow cytometry. Additional subspecialty training in Informatics or Molecular Pathology is encouraged, along with an interest in high-complexity flow
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oversee massive simulation pipelines, real-world robotic deployments, and interdisciplinary collaboration across AI, mechanical systems, and cognitive science. This role also plays a key part in building
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and international projects in IRiSC, including proposal preparation, reporting, and coordination with external partners Foster collaborations across disciplines - in particular between computer science
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Assistant or Associate Professor (Research and Education)-School of Biosciences-107106 -Grade 8 or 9
once in post to £63,606 Grade: 8 Full Time, Permanent Closing date: 14 April 2026 5 Positions Available Academic Development Programme - new Assistant Professors will undertake a 5-year development
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PhD in computer science, physics, mathematics, or a related discipline Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream
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to translational pharmacology, analytical chemistry, and environmental medicine. The department offers a stimulating research environment with dedicated colleagues and a formalized teaching and training program
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. Maintain regular and predictable attendance. Minimum Education and/or Training: High school diploma/GED required. Bachelor's degree in Architecture, Architectural Technology, Engineering, Business or related
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and services by utilizing the computerized scheduling system in an accurate, efficient manner. Maintains scheduling (clinic-specific) information and computer knowledge to ensure safe and effective