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their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As part of LIST’s SUSTAIN unit (Environmental Sustainability
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at the interface of microbiology and electromicrobiology. Experience in one or more of the following areas is desirable: Microbial electrochemistry (e.g., MFC, cyclic voltammetry) Anaerobic cultivation and handling
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2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not
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at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
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interface with cyber and physical aspects of power systems such as the software-defined networking (SDN) in the microgrid control. Supervised by Prof. Xin Zhang (cyber-physical power systems) , the PhD
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webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https
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experimental platforms for real-world quantum computing applications. Candidate Profile We are looking for interested candidates who have: - PhD in Computer Science, Software Engineering, or a related field
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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Skills/Qualifications The PhD candidate should ideally have a background in engineering sciences, material sciences or physical chemistry. A culture in computer science, numerical simulations and data
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, engineering, and/or computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and