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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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. Experience in molecular and cell biology, Western blots, multiplex ELISA, histology and recombinant protein production. Demonstrated track record of publications and conference presentations relative
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grants (as primary investigator or co-investigator) or other research funding. The ability to attract and supervise high-quality research students. A track record of achievements including prizes / awards
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. The goal is to develop new physical understandings of how selected materials respond to radiation damage and transmutation in the extreme conditions of a fusion reactor. The team has a rich track record of
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academic research, individually or in a team. Demonstrated track record of peer-reviewed publications and conference presentations relative to opportunity. Evidence of highly developed interpersonal skills
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keeping up to date with discipline knowledge and developments. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track
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in a related discipline, and/or relevant work experience. Current driver’s license. Proven commitment to proactively keeping up to date with discipline knowledge and developments. A track record of
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predictive control, and/or reinforcement learning. PhD (or soon to be completed) in engineering, applied mathematics, or computer science, with an ability to start in mid-late 2025 a research track record