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Simulation, starting as soon as possible, to support different projects and the supervision of doctoral researchers in the team. The Mobilab team is a dynamic group with broad research competences and
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thereafter. We are seeking a detail-oriented and well-structured candidate to support our research on ecological modelling and simulation, contributing to projects within sustainable agriculture and ecological
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implementation and applications in other scientific and engineering domains. Job description To reliably use simulation-generated predictions in science and engineering, one needs trustworthy mathematical models
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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
-hand experience in the application of machine learning, simulation and modelling concepts in resource technology # Proven track record of interdisciplinary collaboration along the value chain of raw
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development project could be performed (maximum 3 pages) Your contact information Curriculum vitae (CV) with publication list Verified copy of doctoral degree certificate or documentation that clarifies when
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on the intrinsic stochasticity and non-volatility of nano-devices. Implementing simulation frameworks and experimental validation through lab characterization of devices and circuits. Designing and evaluating energy
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opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job
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copy of the final degree (PhD or equivalent) certificate. If the degree is not yet awarded, it is sufficient to mention in the cover letter when the applicant expects to submit the thesis, and/or receive
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for the local energy community. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: Working with real-time simulators (OPAL-RT
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agronomy, engineering, biology, technical oriented sciences or similar Research experience on process-based and ML models to simulate nutrient flows in agro-ecosystems Proficient skills with scripting (R