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and how they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is
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: This project aims to pioneer a sustainable approach to combating antifungal resistance by enhancing the effectiveness of existing treatments. The findings could inform the development of innovative, non
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. The intention of this scholarship is to provide financial assistance to a PHD Candidate with the goal of generating impactful, practical research that contributes to the development and improvement of health
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prospective student could also be associated with the recently established DFG-funded Research Training Group ReMPro, further fostering scientific collaborations and career development. Your profile: a
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Although the development of systems architectures and models has been an established practice for many years, the assessment of the quality of models has relied on expert judgement with
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development. Terms of employment The position is full-time (100%) and temporary for 7 months, with a desired start date of April 1, 2026, or as agreed. Contact person: Anna Munke, anna.munke@chem.lu.se, +46 736
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independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development. Terms of employment
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Description The International Max Planck Research School for Quantitative Behavior, Ecology and Evolution from lab to field (IMPRS-QBEE) is looking for two motiviated PhD students to start latest in
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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development center (FFRDC) at Carnegie Mellon University. What you’ll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in