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the following topics: Large Language Models and Multimodal Language Models Generative Networks and Diffusion Models Program Analysis Software Testing Automation The candidate should have critical thinking and
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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correlative, process-based, and/or null models to large-scale empirical datasets in macroecology. Proficiency in programming in open-source languages such as R, Julia, or Python. Excellent communication skills
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. Responsibilities and qualifications The overall aim of the project is to generate new knowledge about how emerging generative AI tools – such as Copilot, speech-to-text systems and retrieval-augmented generation
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master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral communication
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., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as
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and production development, mechanical engineering, industrial engineering, or equivalent. experience in programming, preferably Python. fluent in spoken and written English. proficiency with mechanical
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision