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Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and feedback Develop active learning and
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they can participate dynamically in multi-energy markets at both building and district scale. You will develop high-fidelity techno-economic models of chillers, heat pumps and thermal energy storage
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California State University, San Bernardino | San Bernardino, California | United States | 17 days ago
students, staff, and/or parents in crisis situations, psychological emergencies, and/or medical emergencies; while working appropriately with CAPS, Student Health Center, University Police, and other offices
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California State University, San Bernardino | San Bernardino, California | United States | about 2 months ago
include: a spacious lobby, relaxation and study lounge areas, meeting rooms, a state-of-the-art theater, a multi-purpose Events Center used for major events, Financial Literacy Center, Graduate Student
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, including the selection, training, and supervision of these student employees. During the summer, serves as the supervisor for the New Student Conferences en Español Student Interpreter team and provides
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing
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Appointment Type: At-Will Time Base: Full Time Work Schedule: Monday - Friday, 8:00 AM - 5:00 PM; occasional early morning, evening and/or weekend hours. About CSUF: Standing on 241 acres in the heart
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical