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his peer network, including at the Massachusetts Institute of Technology (MIT) and elsewhere in the US, Europe, and Asia. Salary and terms of employment The appointment will be based on the collective
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force‑responsive probes, DNA‑based sensors, or advanced microscopy to understand mechanochemical signaling in cells. Operate and innovate with state‑of‑the‑art optical, fluorescence, and force
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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to develop and progress the candidate’s career goals. Attend career development seminars and networking events. Administrative Duties (5%) Complete required research training. Perform general administrative
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for ground/space segment threat collection via existing and novel interfaces, including multi-source sensor intelligence collection, fusion and dissemination. 5) Applied forensics for space missions
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accumulations on our planet. They also break seafloor telecommunication cable networks that form the backbone of global data transfer, and there is emerging understand that they bury globally significant amounts
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month 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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-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