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across analytical chemistry, forensic science, toxicology and related areas Has prior experience of teaching UG and PG student as well as supervision of research students up to PhD level. All candidates
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– TSHD) and Jheronimus Academy of Data Science (JADS) host a fully funded PhD position within the NWO-funded project NEPTARGOS – Nautical Empowerment for Proactive Threat Analysis and Resilience with
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theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative
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chemistry, sustainable chemistry, and organic chemistry. PhD programmes are conducted in five areas: analytical chemistry, physical chemistry, materials chemistry, inorganic chemistry and organic chemistry
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to answer different kinds of questions. This PhD position focuses on understanding, interpreting, parsing and formalising geo-analytical questions. You will explore hybrid (symbolic and sub-symbolic) AI
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate to advance predictive, data-driven production and
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the PhD Students: - Decide the experimental design for the validation of the developed models to authenticate pistachios, and collaborate in recruiting new samples - Perform the analytical
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to ensure analytic-ready datasets, secure data pipelines, and proper documentation. • Guide data cleaning, variable construction, coding, and data integrity checks. • Ensure fidelity to data governance
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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research in some part of analytic number theory, automorphic forms and/or representation theory, building on recent advances in these subjects. Qualifications Applicants should hold a PhD degree in