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Postdoctoral Position (f/m/d) | Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis
-Microscopy Studies of Complex Processes in Thermal Catalysis for the Spectro-Microscopy group within the Department of Interface Science. The Department of Interface Science , headed by Prof. Beatriz Roldán
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university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third
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development of standard and deep sub-micron process nodes design flow and translate the key physical parameters from models to design kits to support full integration of such advanced devices in CMOS processes
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
understanding of physical and chemical processes in soils. You have experience with geospatial modeling and are proficient in a programming language relevant to data analysis (ideally R). Additionally, you
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for discussion of draft papers and memos; Coordinating co-creation processes and knowledge exchange activities with both academic and non-academic partners; Actively participating in consortium meetings, workshops
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. A complete pipeline for processing experimental video data was developed, and significant progress was made in developing new pressure sensors and collecting data on the information generated by
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the recruitment procedure, we ask for your consent to their processing, which may read: - in the case of ordinary data: ‘I consent to the processing of my personal data contained in (e.g. CV, cover letter or other
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. Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms