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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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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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unintentionally) Boundary objects that can be used to bridge the divide between educators and AI experts (e.g. causal DAGs, hybrid forums, games) so helping people to understand AI without undergoing formal
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statistical analysis and modeling techniques such as Gaussian process modeling, data assimilation, and Bayesian analysis; and 4. Open-source scientific software development. Expertise in computational
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for a Postdoctoral Scholar. The Scholar will conduct research on Bayesian spatiotemporal modeling methodology under the direction of Professor David Dunson at Duke on developing novel models motivated by
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investigator and will participate in theoretical and numerical modelling work, as part of a project team that includes doctoral students and technical staff. The main objective of this postdoc position is (1
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experiments, data analysis, field work, and work as part of a project team that includes doctoral students and technical staff. The main objective of this postdoc position is (1) to measure the activity and
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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
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project team that includes doctoral students and technical staff. The main objective of this postdoc position is (1) to develop theoretical modelling approaches (bioenergetics, thermodynamics, ecological