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Field
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designs, sustainable skies. Job description The path to sustainable aviation relies on innovative, efficient production technologies. Thermoplastic composites, combined with novel material architectures
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applications. Develop and optimize electrode materials and architectures, including synthesis and/or surface modification, to improve electrode selectivity and stability. Collaborate with internal and external
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laws and symmetries into architectures like neural operators, physics-informed neural networks (PINNs), and graph-based solvers, the project aims to accelerate simulations in areas including protein
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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of science and technology in Okinawa Prefecture, Japan. The university is located on 85 hectares of protected forestland overlooking beautiful shoreline and coral reefs. The campus is striking architecturally
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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Formulate and nanoparticles Analyze experimental data using imaging and quantitative assays Contribute to scientific publications, presentations, and mentoring activities Supervise master’s and/or PhD
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and how they relate to your previous studies and future goals. Maximally 2 pages PhD thesis or equivalent publication record incl. pre-prints Your complete application must be received at KTH no later
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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty