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will focus on the development of advanced thermoelectric cooler designs for on-chip cooling applications within the MGICIAN Doctoral Network. The project will address model-based and data-driven design
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into European energy system models based on the institute's own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE . Your tasks in detail: Implementing geothermal plants with material co-production
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impactful, application-driven research. This position supports a strategic research project on full electric harbour craft microgrid modelling, onboard energy management systems (EMS), and hardware-in
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engineering. Minimum 3 years of relevant postdoctoral research fellow experience. Research focus in energy planning, energy system modelling, energy transition, energy literacy, and transdisciplinary education
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in skin and hair biology Work with human-based models (ex vivo skin and hair follicle, in vitro cell systems) Contribute to translational R&D (lab to product) Analyze biological data and derive
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in coordination with other lab members (15%) 1. Centralized organization: Working with current lab members to ensure lab materials are centrally organized, including plasmids, cell stocks, and antibody
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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in 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? We are seeking a highly motivated
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. Position description The Environmental Markets Lab (emLab – https://emlab.ucsb.edu ) and Clean Energy Transformation Lab (CETlab – https://cetlab.es.ucsb.edu/ ) at the University of California Santa Barbara
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large