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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 days ago
-time Hours Per Week 20 Offer Starting Date 8 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026/0087 Is the Job related to staff
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This one-year postdoctoral project aims to use multi scale atomic simulation
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(UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited researcher will conduct research in the field of nonlinear
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2 Apr 2026 Job Information Organisation/Company Ghent University Research Field Biological sciences » Other Economics » Environmental economics Engineering » Chemical engineering Engineering » Other
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Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
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. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data
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(R3) Application Deadline 9 May 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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commuting to the assigned work location when necessary. Qualifications We Require: PhD in engineering, physics, applied mathematics, computer science or other relevant field Ability to obtain and maintain a
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision