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engineering, molecular cloning, genomics, and computational data analysis workflows. In addition you: have obtained, or are on track to obtain, a PhD with first or co-author publications/preprints in
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, meta-research, and improving research quality. You enjoy working at the interface of research, data analysis, and education, and are comfortable taking initiative while collaborating in
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molecular magnets, lanthanide systems have recently gained greater attention due to their larger magnetic anisotropies (i.e. higher barriers to spin inversion). First-principles analysis of correlated
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: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more strands of data collection and analysis, including semi-structured interviews
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PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest in engaging and collaborating with
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the Aspasia premium awarded to dr. Mitra Baratchi for her research on machine learning for spatio-temporal data. The successful applicant will be embedded in the Spatio-temporal Data Analysis and Reasoning
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follows: Informed by the preceding qualitative phase, we will collect novel survey data. We will apply Correlational Class Analysis to uncover different meanings ascribed to climate change among
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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11 Jul 2026 Job Information Organisation/Company University of Groningen Research Field Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Application Deadline 24 Aug
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy