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Prior experience with in vivo recording methods (e.g., calcium imaging, extracellular spike recording) Experience in working with mouse models Advanced programming skills in Python Strong motivation and
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for VR, simulation, digital twins, or interactive applications. Experience with robotic systems and robot programming. Experience with UR or Franka robots, ROS/ROS2, TypeScript/Node.js, Python
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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and matched employer-employee data to understand the changing landscape of cities. More information on Diego Puga's research can be found at https://diegopuga.org/ Predoctoral Fellow’s Roles and
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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools
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information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel, where this project will be based, has a strong record of internationally recognised
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, commercial insurance datasets) i (Required) Fluency in data management and statistical programming languages (SAS, SQL, R, STATA, or Python) (Required) Solid understanding of pharmacoepidemiologic study
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Computer Science major courses; and graduate-level courses. Undergraduate introductory level teaching could include courses in programming with Python and Java, data structures, web design, and web-based
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certification. Hands-on or coordination experience with data engineering tools: Python, SQL, Apache Spark, dbt, Airflow, or equivalent. Experience with cloud platforms (Azure, AWS, GCP) or research data
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maintenance and equipment and aquatic animal husbandry and aquatic life-support systems. Experience rearing Cassiopea or other cnidarians across polyp and medusa life stages. Experience with Python data