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) in the field of model and code development for the transformation and circularity in energy-intensive industries (steel, cement, and plastics) starting as soon as possible. The position is initially
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, philanthropic interests, and estimated giving capacity Develop statistical models and reports in collaboration with analysts and consultants to support effective prospect identification and provide insights
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- 23:59 (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
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 15 days ago
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project is part of
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/Planning Internal Number: 7006956 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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19 Mar 2026 Job Information Organisation/Company University of Antwerp Research Field Computer science » Other Engineering » Electrical engineering Engineering » Other Mathematics » Applied
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S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 2 days ago
Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description S2AQUA
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behavioral tests to explore an alternative treatment in anxiety and depression in animal models. The research assistant(s) will join the FUSE program to conduct focused and meaningful research, scholarly and
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Republic, invites applications for tenure‐track positions in Computer Science and related areas fitting and/or expanding some of its current research areas. The Complex Networks and Brain Dynamics group (https
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of statistics and epidemiology, using modern computational approaches to improve inference for real-world transmission models. The project seeks to deliver robust and scalable alternatives to traditional data