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Reviews and Social Media Comments in the Age of Artificial Intelligence”, having Maria Petrescu as principal investigator. The ideal candidate profile consists of advanced knowledge in statistical and
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
equivalent) is required. Candidates from disciplines such as mathematics, statistics, computer science, economics, or related quantitative fields are strongly encouraged to apply. While applicants need not be
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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 21 days ago
fundamental physical mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within
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for participants. Given the practical and societal relevance of the project, this studentship is well suited to applicants who are motivated by research with real-world impact, but with strong statistical and
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and drug–excipient interactions that determine formulation stability and performance. The research will employ atomistic molecular modeling grounded in statistical mechanics to investigate binding
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include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have gratuated at Master’s level in machine learning, computer science, statistics, or a
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, signal in-tegrity) under varying physiological and environmental conditions Conduct statistical evaluation and model validation using controlled measurements and sensing-dummy reference data Collaborate
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pipelines by combining statistical, synthetic, and decentralized methods to improve both the privacy and utility of anonymized datasets. Moreover, this research will examine the potential of AI and LLM
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subject. Practical experience of applying specialist skills and techniques required for the role including human interventions, polyphenol chemistry, databases and statistics. A proven track record of using