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Do you want to be part of a large scale national project and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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Application Deadline 27 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 12 Dec 2025 Is the job funded through the EU Research Framework Programme
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close collaboration at all stages of a research project exploring applications of deep learning and artificial intelligence to dynamic portfolio optimization problems. This position offers the opportunity
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Do you want to be part of an industry-oriented project and work on flexibility estimation from industrial sites? The envisioned research is part of the research program Intelligent Energy Systems
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research
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. Your project optimizes energy efficiency and develops new features such as positioning and sensing. Information You will innovate Optical Wireless Communication (OWC) links. Laser beams promise wireless
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number E06_X256 Is the Job related to staff position within a Research Infrastructure? No Offer Description AIoT On-Board
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
Offer Starting Date 4 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number LISBOA2030-FEDER-00856400 Is the Job related to staff position