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, documenting, debugging, maintaining, and modifying routine computer programs for the PMEL Argo program (https://argo.ucsd.edu/data/data-faq/ ). This will entail the development of software tools to log output
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activity involves the development of motion planning
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity is part of the project “Development of innovative and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description To develop the methodology for collecting data from a motion
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of mold free shelf-life predictive models, determining the number of variables as well that need to be recorded to be able to train the model; (ii) design and development of a model to predict mold growth
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neuroplasticity.System will be managed through a friendly graphical interface ensuring safety and robustness for future clinical trials Where to apply Website https://www.unibs.it/it/ateneo/amministrazione/concorsi/bandi
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-Venezia Giulia” project aims to monitor, analyze, and report in real time on the region’s economic-productive evolution by building an integrated data lake and an analytics platform for real-time monitoring
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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-dependent MLCS regulation on lysosomal trafficking, mitochondrial quality control and hypoxia-induced cell death. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd