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Field
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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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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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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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Experience with data collection and working with physical or physiological data Knowledge of quantitative research methods and statistics is desirable Good English skills, both spoken and written Experience in
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knowledge with impact far beyond the lab. Main tasks Plan and conduct pig experiments, behavioural observations, behavioural tests, taking saliva and blood samples for cortisol analysis, and statistical
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vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural
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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 | about 1 month 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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and drug–excipient interactions that determine formulation stability and performance. The research will employ atomistic molecular modeling grounded in statistical mechanics to investigate binding