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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 Are you passionate about working with
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
climate-related challenges. Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal
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this limitation is a clear goal, with a potential target language being TLA+. - The advent of smart contracts, programs deployed on blockchain platforms, promises to significantly change how financial assets
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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) computer science or a closely related field; Demonstratable expertise in quantum computing; Good programming skills in C/C++ or Java; Proficient in spoken and written English; An independent and creative team player
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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 Join our ERC SPHINX Team to elicit how
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) Country Netherlands Application Deadline 4 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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Is the job 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 Are you eager
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Dutch Research Council (NWO) Open Technology programme, is a collaboration between TU Delft, the University of Groningen, and Queen Mary University of London. At TU Delft, you will lead the development
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, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods; Experience with (statistical) data analysis