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are looking for a skilled experimentalist who would perform technically challenging swimming force experiments with tiny living organisms using a micropipette force sensor (Backholm et al., Nature Protocols
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a particular focus on the contraction phase of T cell responses. This position seeks to elucidate how innate immune sensors detect dying T cells, and how this process influences the resolution
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environments, and communicate fluently in English. Ability to multi-task and work cooperatively with others. Preferred Qualifications: Skills in the setup, instrumentation, and maintenance of sensors and sensor
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its neighborhood, analyze their behavior, and probabilistically predict future motions/behaviors. As part of this work, the successful applicant will work on sensor data processing and data fusion
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of concrete. To develop structural-health-monitoring networks specifically directed toward the oil and gas industry. To develop novel self-healing cementitious materials through chemical and/or bio
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
Sentinel Site Network (CA-SSN), a partnership between the UC Natural Reserve System (UCNRS) and the California Department of Fish and Wildlife (CDFW). The post-doctoral fellow will conduct original and
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) in the department and in the Great Plains IDeA-CTR network, and growing institutional strengths in AI, machine learning and clinical informatics. This is a unique opportunity to translate and expand
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experimentation, isotopic measurements and modeling aspects taking advantage of a network of international collaboration and collaborations with the private sector. Importantly, this project is associated to a
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence