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methods and/or the parametrisation method knowledge of automatic differentiation techniques is highly advantageous familiarity with the mathematical modelling of biological, climate, or ecological systems
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About us King’s College London is an internationally recognised research-intensive university. The Department of Physics, within the Faculty of Natural, Mathematical & Engineering Sciences, hosts
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. Overview of the Postdoctoral Position This position is designed for a PhD, or equivalent doctoral-level investigator who seeks advanced research training at the intersection of cardiovascular medicine
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on physiologic waveform analysis, biomedical signal processing, and computational modeling of continuous clinical monitoring data. The successful candidate will work on projects involving the analysis
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab
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About us The Department of Physics at King’s College London is part of the Faculty of Natural, Mathematical & Engineering Sciences. It provides a research environment spanning theoretical physics
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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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stakeholders involved in planning and decision-making. Qualifications Candidates must have a PhD in atmospheric physics, hydrology, meteorology, Earth system science, climate studies, applied mathematics
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AI systems Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD. The appointment is for two years, with the possibility of renewal