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14 Jul 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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postdoctoral 50 Faculty of Life Sciences Startdate: 01.11.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2029 Reference no.: 6186 A three year
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Applications are invited for an ambitious Senior Research Fellow in Health Economics to work at the University of Southampton and contribute to a nationally-leading research programme funded by
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
system technologies. This position resides in the Multifunctional Equipment Integration Group in the Thermal System Science Research Section, Buildings and Transportation Science Division, Energy Science
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fields (data science, bioinformatics, health informatics, computer science, information systems, statistics, public health, biological sciences, microbiology, or a related field). Degree must have been
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University, ranking 10th in the field of Electrical & Electronic Engineering in the 2024
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of interest to each applicant and amenable to or requiring HPC resources. Training will be provided in data science, scientific computing, AI/ML, and related topics as needed for the fellow to complete
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24 Jul 2026 Job Information Organisation/Company Gran Sasso Science Institute Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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23rd September 2026 Languages English English English The Department of Computer Science has a vacancy for a Postdoctoral Fellow in Unconventional Close-to-Physics Computation Apply for this job See
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. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, metabolism, and