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. The successful candidate will use very high-resolution simulations (Cloud Model 1) to study the interaction between tornadoes and the built environment to understand how tornado dynamics evolve over urban
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in medicine, and early successes in the field have demonstrated the dynamic interactions among individual microbial species and highlighted the crosstalk between microbiota and their hosts
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highly motivated and talented Research Fellow to join our dynamic cancer biology laboratory. The successful candidate will work on projects aimed at understanding the molecular mechanisms driving cancer
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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sustainability. We develop functional fiber materials with specific photonic and electronic properties by polymer molecular engineering and fiber structure design. Together with advanced textile technology
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experience in theoretical and/or computational research in condensed matter physics, nanoscience, optics, statistical physics or thermodynamics, chemical physics, as well as in molecular dynamics simulations
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to the “other documents” tab as needed. Skills and Knowledge: Experience with molecular simulations and high performance computing demonstrated by several peer-reviewed publications. Understanding of polymers
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23 Sep 2025 Job Information Organisation/Company Gulbenkian Institute for Molecular Medicine Department Oeiras Research Field Biological sciences » Biology Researcher Profile First Stage Researcher
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual