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the growth, alignment, and assembly of framework materials using external fields (electric, magnetic, or flow) to create structured, anisotropic, and multifunctional materials. By coupling field-driven
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compliance with the legal framework governing employment for general staff. You are responsible for the department’s reporting system (department report, etc.) and help to prepare target-setting meetings
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chemistry, molecular materials, and optoelectronics within a highly collaborative and internationally visible research framework. Additionally, the successful candidate is expected to: Participate in
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mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's
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the required coursework of the Doctoral Program in Philosophy (minimum 24 ECTS); develop and conduct empirical research within the framework of the FWF project; engage in participatory research by collaborating
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the ability to get things done Care for clean, well-documented, and reproducible code Desirable qualifications: Knowledge of process mining Experience with machine learning frameworks (e.g., PyTorch
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platforms, computational infrastructure, and a vibrant scientific community. Your future tasks: Conduct research within the AIPN framework, focusing on personalized nutrition, microbiome science, multi‑omics
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within the university’s respective framework. Inspiring working atmosphere: You are part of an international team with excellent research infrastructure in a relaxed working environment. Good public
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, maintenance, and support for the live platform. You analyze the regulatory framework (e.g., data protection, medical device law) and incorporate it into the planning, consultation, and implementation
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the background of international research access, the research area works with partner institutions primarily in Scandinavia, Great Britain, Western Europe, Canada, and the USA. Within the framework of this PraeDoc