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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
essential opportunities to test and validate operational concepts under controlled but realistic conditions. The overarching goal of this opportunity is to bridge the gap between conceptual feasibility and
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scholar to conduct research at the intersection of robotics, controls, and machine learning. The successful candidate will help shape next-generation approaches for autonomous multi-robot systems
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quality control. * Design and implement the end-to-end analysis pipeline: preprocessing, source reconstruction, depth-resolved (laminar) analyses, and beta burst detection/analysis; produce reusable, well
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- work environment: The mission of the MIVEGEC joint-research unit (Infectious Diseases and Vectors: Ecology, Genetics, Evolution, Control) is to understand maintenance, amplification and transmission
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within Chalmers and internationally. Chalmers is an employer that actively promotes equal opportunities for women and men. Project overview The project concerns applying supervisory control theory
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of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece
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to nascent mRNAs, regulate post-transcriptional processes including m6A methylation, subcellular localization, translation, and transcript quality control in various eukaryotic cell systems. In collaboration
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ecology techniques, biological control of insects, and/or field research. Required knowledge, skills and abilities: Good communication and computer skills. Ability to multi task and work cooperatively with
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of publications in peer-reviewed journals. Rigour, motivation, scientific creativity and originality, writing skills, conciseness, sense of priority and ability to work in a team. Languages: fluent command
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soon as possible. The position is within the Math+ project "Anisotropic microfluids -- fluctuations, control, effective models and their numerics “. Here, we study anisotropic microfluids and the effect