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at University of Michigan - Ann Arbor More Jobs from This Employer https://main.hercjobs.org/jobs/22469564/research-fellow-doe-genesis-forward-modeling-project Return to Search Results
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sustainable and smart solutions to societal challenges, such as energy efficiency and electrification in areas ranging from transport and production systems to communication solutions and biomedical engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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developed as diagnostic tools or therapeutics for cancer. The successful candidate will plan and conduct cell-based studies, establish and optimise experimental models, perform and analyse microscopy and
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AI-Based Forecasting Models We invite applications for a PhD position focused on developing next-generation AI-based forecasting models to enhance renewable energy (RES) integration into power systems
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adipose tissue organoids incorporating stromal, endothelial, and immune cell populations Perform in‑depth molecular, phenotypic and metabolic characterisation of adipose models Investigate inflammatory and
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational
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» Energy technology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Sep 2026 - 00:00 (Europe/Copenhagen) Country Denmark Type of Contract To be defined Job
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energy-conversion testbeds, evaluating activity, selectivity, stability, and energy efficiency under realistic operating conditions Develop reaction and reactor models and conduct process analysis
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, ammonia, methanol, biomethane, ethanol, etc.) and electrification pathways for e-fuels. Collect, analyse, and model data related to shipping operations, emissions, energy consumption and risk assessment