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and qualifications Expertise in advanced machine learning, deep learning and image vision techniques with focus on EO data (e.g. deep convolutional neural networks, transformers, deep learning based
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of Materials Design and Innovation Posting Number R260134 Posting Link https://www.ubjobs.buffalo.edu/postings/64174 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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, film, foam, or textile processing and characterization. Experience with smart textiles, wearable sensors, or wearable systems. Prior experience mentoring undergraduate or graduate students. Interest in
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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are related across Australian housing types; including coordinating a year-long field monitoring campaign, collecting and analysing sensor and occupant perception data. Reporting to Associate Professor Arianna
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Appointment Dates: July 1, 2026, to June 30, 2027 Proposed Compensation: $68,500 or commensurate with experience. Email/Website: [email protected] , https://www.reilly-lab.com(Link is external) , https
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year at either the undergraduate or graduate level. CIMAT is part of the network of public research centers of the Secretaría de Ciencias, Humanidades, Tecnología e Innovación (Secihti, https