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Field
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-Checking, Argument Mining, Automated Planning, and Decision-Making. Training, domain adaptation, and evaluation of cutting-edge LLMs and Multi-Modal models in the cloud and on premise. Software Engineering
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accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
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particular focus on the biosynthesis pathways of secondary plant metabolites (flavonoids). Your tasks will include: Applying controlled stress treatments Phenotyping stress responses with various sensors and
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Profile: A Master’s degree in chemistry, materials science, chemical engineering, or a related field Desirable background in electrocatalysis and inorganic synthesis Fluent command of written and spoken
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your opportunity to give your scientific career a flying start! All you need is: Master or equivalent Interactive personality & good command of English 2 letters of reference We offer Exciting
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cultures? Then joining the IPP is your opportunity to give your scientific career a flying start! All you need is: Master or equivalent Interactive personality & good command of English 2 letters
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the IPP is your opportunity to give your scientific career a flying start! All you need is: Master or equivalent Interactive personality & good command of English 2 letters of reference We offer Exciting
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van der Waals materials; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD
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; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD strives to employ more