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Field
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-based information systems using both quantitative and qualitative approaches. Investigating and applying AI as a research method in IS e.g., computationally intensive theory construction Prepare research
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are contingent upon formal conferral of the Ph.D. Preferred Education and Experience PhD in Chemistry or a related field Written and oral communication skills with a proven record of scientific accomplishment We
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The successful candidate will have completed a PhD in chemistry education or related field (ABD will be considered), and will be performing research in line with the PI's research program. The postdoctoral scholar
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uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and tumorigenesis. The Zhivagui
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at the University of Luxembourg brings together researchers from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close
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developing generic tools that take a declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal
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to evaluate the effects of adaptive dialogue strategies on engagement, openness, curiosity, empathy, and reflection; Contribute to reusable experimental infrastructure, datasets, evaluation methods, and
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‑throughput screening or selection methods Collaborating closely with academic and industrial partners to deliver industry‑focused research outputs Disseminating research through peer‑reviewed publications
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PhD Positions Application Deadline 8 Aug 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 14 Aug 2026 Is the job funded
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individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: Hold, or expect to hold shortly, a PhD in analytical chemistry, mass spectrometry, metabolomics