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Field
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent
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the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under-actuated large-scale
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About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security
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, documented through a PhD dissertation and/or research publications experience in independently managing research projects excellent communication and interpersonal skills, with the ability to engage
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Qualifications: A PHD IN BIOLOGY, ECOLOGY, ENVIRONMENTAL TOXICOLOGY, EARTH SCIENCES, GEOCHEMISTRY, HYDROLOGY, DATA SCIENCE, APPLIED MATHEMATICS, OR A RELATED FIELD. EXPERIENCE REQUIREMENTS: - PRIOR
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undergraduate students). Additional duties as assigned. Minimum Qualifications Must have completed all the requirements for a PhD. in physical science, mathematics/ data science, or engineering at the time of
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proven track record and an independent working style. Your Profile The successful candidate should have a PhD and should have a strong scientific background in electrophysiology and fiber photometry or Ca2