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will have (i), to fabricate and characterize solid state microbatterie(s) (ii), explore how to promote their optimal charging when they are powered by an energy harvester, (iii) work on the integration
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Associate (Post-doc, f/m) in Health Economics Ref: 26-10 2 years fixed-term working contract at LISER Full-time, 40 hours/week Labour Market department & Health & Health Systems Research Programme Work
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effects for drug discovery. The successful candidate will play a leading role in developing gene perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate
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/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
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optimization of co-culture conditions Phenotypic characterization of disease-relevant features, including neuronal loss, microglial activation and astroglial responses, α-synuclein pathology Immunofluorescence
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine Learning, addressing challenges
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seeking to recruit a two-year postdoctoral position to work on fabrication of the piezoelectric energy harvester based on ceramics for tires. This position is part of the Strategic Research Program “Tire as
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our website: https://www.list.lu/ How will you contribute? LIST is seeking to recruit a two-year postdoctoral position to work on fabrication of the piezoelectric energy harvester based on ceramics
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The FACTS project is a successfully funded applied research project developing a new generation of compact, fast thermal sensing devices for demanding industrial and research environments. The work