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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 39 minutes ago
, computer science or physical or biological sciences with experience in training and evaluation of AI systems. This may include development of robotic systems, training of neural nets for data assimilation
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spatial and temporal/dynamic modelling, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in
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14 Mar 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Agricultural sciences Chemistry Researcher Profile Recognised Researcher (R2) Established
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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, United States of America Subject Area: Condensed Matter Physics / Condensed matter physics Appl Deadline: none (listed until 2026/08/02 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description
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Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in
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or in-person; however, appointments are typically 12 months. For a list of potential host facilities, please visit https://orise.orau.gov/marine-energy-research-program/applicants/host-facilities.html
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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understanding of single-cell biology, recent technologies and data science. Experience with cloud computing platforms will be an advantage Experience with wet-lab protocols RNA-seq and scRNAseq is preferred but
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Cornell University, School of Integrative Plant Science - Section of Plant Pathology and Plant-Microbe Biology Position ID: Cornell-School of Integrative Plant Science - Section of Plant Pathology