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Field
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, or entrepreneurship. Why join us? Innovation: Contribute to cutting-edge research at the interface of AI/ML and mechanistic modeling. Depending on your track, you may focus on: Track A (AI/ML): Developing physics
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discipline knowledge and developments. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications and
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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and energy-efficient drones. Keywords: Morphing wings, composites, additive manufacturing, aerodynamics, UAV design. Objectives: The main objective is to support the development and validation
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of using Bayesian methods in both model development and fitting. Previous experience and knowledge of research methods and study design in clinical trials. Knowledge of Good Clinical Practice (GCP) in
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Ability to acquire new skills beyond current expertise to achieve project objectives. In-depth theoretical and practical knowledge in engineering or cell biology. Ability to work independently and
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) or other expertise relevant to the project objectives (see above) Early career track record including publications or other outputs in the related field In case your background is in psychology or medicine
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critical questions about the ways in which AI tools work and how they might be misused or abused (both intentionally and unintentionally) Boundary objects that can be used to bridge the divide between
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responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues. 15 Establish and sustain a track record of independent and joint published research
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quantum engineering. The ideal candidate will have a solid track record of experimental research, preferably in low-temperature condensed matter physics, quantum physics, quantum engineering, or related