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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
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vehicles. You will work with dynamic teams in multi-organizational consortia and carry out research activities focusing on synthesis, characterization and optimization of advanced cathode materials
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to successfully work in a dynamic, inclusive, team environment. Strong written and oral communication skills as documented by seminars/presentations. Desired Qualifications: Experience of high
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to thermal cameras, audio recorders, air and other environmental samplers, and environmental sensors. Familiarity with the various contexts and settings related to investigations into wildlife disease dynamics
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dynamics, and bond valence. Strong coding skills including object-oriented programming, software engineering practice (version control, unit testing, continuous integration). Preferred language of experience