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Full-Time Fixed-Term for 36 months This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales
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data quality and integration, and advances coordinated technology and process-improvement initiatives. Provides university-wide strategy, governance, analysis, and coordination, while operational units
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an individual ESA Member State or Associate Member under a bilateral partnership agreement concluded with ESA. As a result, a representative of the sponsoring State participates in the selection process. In
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
OCR and image processing applications; conduct quality control; and meet production goals and deadlines. The position collaborates with staff and vendors on digitization projects; applies appropriate
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forResearch Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento… Workplace: Electrical and Computer Engineering Department, Instituto Superior Téncnico Website
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throughput methods (single cell proteomics, microfluidics, high content imaging), quantum biology, protein engineering, automated and autonomous labs, among others. PME faculty interact closely with numerous
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& Engineering. Corporate Communications provides strategic direction, prioritisation and oversight, while the Faculty provides local context, priorities and access to stakeholders, with activity delivered through
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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opportunities for technology transfer and innovation Competitive salary and excellent working conditions - more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS) is emerging as a key paradigm for future