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considered exempt from the Rehabilitation of Offenders Act 1974 and the amendments to the Exceptions Order 1975, 2013 and 2020. Further information about filtering offences can be found in the DBS filtering
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of seasonal pCO₂ cycles in the PISCES model by integrating observations from BGC-Argo floats. The approach will leverage data assimilation through a particle filter and ensemble-based parameter optimization
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focused on providing security for LLM operation (in particular, definition of access privileges to data or tools, and output filtering mechanisms), including particularly relevant industry activities (e.g
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tasks: (i) Design and develop a recyclable filter medium capable of removing micropollutants from wastewater; (ii) Develop methods to valorise the pollutants adsorbed and removed, regenerating the filter
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | about 2 months ago
, liquid crystals, and spectral filters. Developing a user-friendly calibration system for clinicians. Testing and optimizing the MPC in vivo under real conditions. Contributing to image post-processing
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data of the Chair of Human Genetics, bioinformatics of exomes and genomes (including continuous development of the pipeline for data QC and filtering), and other large-scale genomics datasets. During
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and neurons, environmental testing, integration to proof-of-concept applications Electronics engineering: analog and mixed-signal design, band-pass filters, neuromorphic front-ends Computer science / AI
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for high frequency applications with our research team and our collaborators. The roles of this position include: Carbon Nanotubes growth, transfer and characterization Waveguide/filters/lens device
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opportunities Keyword searches Filter searches Sorting results Exporting results Helpful definitions 1. Current vs. archived opportunities By default the Funding Search page shows current (active) opportunities
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The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain