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, particularly in the areas of image processing and analysis Contribute to practical courses and teaching in the field of light microscopy Support lab management and administration (e.g. booking platform) This is
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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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has a long history is black holes, the most extreme environments in nature, and laboratories where strong gravity, plasma physics and high-energy astro(particle)/physical processes meet. The research
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bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges/engineering/research
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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
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or has been a supervisor, including an indication of how many of them had successfully completed their studies as of the date on which the CV was prepared: https://www.uniza.sk/images/pdf/uradna-tabula
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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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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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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