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, graph neural networks) to match questions to relevant geodata workflows; integrate semantic web technologies (e.g. RDF, SPARQL, OWL), large language models and graph neural networks into the reasoning
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understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models
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our BSc. and MSc. program by contributing with teaching and supervision? Then the Department of Civil and Architectural Engineering invites you to apply for a 4-year postdoc position on position “data
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/councils, EU framework program or industry. Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil Engineering, or a closely related field, with a
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particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer-reviewed journal articles
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Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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appreciated Ability to engage with interdisciplinary teams involving statisticians, computer scientists, and climate experts Programming experience in a scientific computing language (e.g., Python, Fortran
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skills (e.g. Python, R, Matlab, or other relevant programming language); excellent communication skills and ability to work in an interdisciplinary environment. Desirable: experience with digital twin