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Field
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of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about
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or a related field. You possess solid knowledge of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch); Interest in interdisciplinary research (e.g., HCI
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willingness to work in a multi-disciplinary and multi-stakeholder team including working with people with disabilities. Excellent research and design skills Proficiency in written and verbal English Fluency in
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(or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and climate questions. Ability
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a solid grounding in General Relativity and/or gravitational wave astrophysics; have experience in scientific programming (for example in Python or C++); communicate clearly in English; and enjoy
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will also participate in English-taught Doctoral Education courses and write scientific articles and a final thesis. In addition, you may be involved in training and teaching BSc and MSc students. A
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The Amsterdam School for Historical Studies (ASH) invites applications for a fully funded PhD position (4 years, 1.0ft). This position is part of the ERC Synergy-funded research programme BLOCKADE
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engineering, system engineering, or related fields. Solid background in process safety, quantitative risk assessment, and simulation methods. Experience in programming and/or safety analysis software. Familiar