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%) postdoctoral researcher in the field of bio-electrochemistry. The overall goal of this PhD is to develop novel biosensing strategies that will pave the way to the construction of affordable, robust, and user
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to enable microbial species detection and recognition in situ, using a sensor system that will eventually be deployed in agricultural fields for soil monitoring in space and time. Work duties The main duties
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/ ). Your tasks will include data collection, analysis, write-up, and dissemination of ongoing and future research. Furthermore, you will play a crucial role in supporting and training PhD students and other
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/ ). Your tasks will include data collection, analysis, write-up, and dissemination of ongoing and future research. Furthermore, you will play a crucial role in supporting and training PhD students and other
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frameworks (MOFs) and covalent organic frameworks (COFs), for engineering triboelectric energy harvesters and ultrasensitive sensors for soft robotics and smart tires. A major aim of the project is to discover
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methods to initiate, to place and to parametrize additional sensors and actuators to gain more insight into and more influence on the manufacturing process in order to support its improvement and maturation
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Remote sensing data provide essential information on the spatial and temporal variability in vegetation
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stakeholders in beef cattle and bison production to collect data to build decision-support tools based on artificial intelligence. Perform other duties as assigned. Required Education and Experience. PhD degree
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sensitivity of biosensors to improve existing sensors and to enable new technologies for a wide range of biomarkers and application areas. Skills, expertise and/or qualifications Doctoral degree (PhD
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves