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Field
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-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen your career as a scientist. As a
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(TASC) program of the ARC Industrial Transformation Research Hub for Intelligent Contaminant-Sensing in Complex Environments (IC-SensE). The TASCprogram explores consumer and workforce adoption of sensor
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systems (e.g., Arduino, ESP32, or similar platforms) Experience developing or adapting custom instrumentation and sensor systems for field research applications. Experience integrating physiological
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into the life of the School through the development of high-quality, productivity-driven research networks across RMIT and with local and national, internal and external partners. Please note: We welcome
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research activities within the USGS network. Required Department Minimum Qualifications: Ph.D. civil engineering, geography, electrical engineering, computer science, geoscience, or related field. Candidates
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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About the job: This Research Fellow post will contribute to the EPSRC-SFI project “Quantum control for robust ultracold atomic sensors (Croutons)”. The role will focus on research in the control
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well as become part of a wider international network of Mars scientists and engineers. The specific research direction will be shaped in part by the candidate’s interests and background. Possible avenues
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acquired instru-ment data, including spectroscopic measurements and solar energetic particle and plasma observations, as well as become part of a wider international network of Mars scientists and engineers
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network and participate in all relevant MishMash activities. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has