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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
of sea ice conditions, there is the opportunity to develop more robust and higher-resolution data products useful for Arctic communities. This PhD project falls within an international effort to co-develop
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. Scientific objectives - Advances in broadband laser technology are fueling hopes of achiev-ing inertial confinement fusion in a regime largely free of parametric instabilities, paving the way for more robust
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robust management of large traffic networks under all conditions. You have the most important role in this ambitious project as one of the young talents in our team. We have 2 PhD and one postdoc positions
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such as mechanistic, chemometric, deep learning, and physics-aware models. Improve robustness and reliability of the developed methods for deploying AI models in real environments utilizing augmentation
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
learning (noise robustness, statistical generalisation) with those of symbolic AI (explainability and logical reasoning). The objective of this thesis is to study the contribution of neuro-symbolic
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electrostatic environments influence the electronic and spin properties of transferred GNRs, progressing from robust armchair GNRs to reactive zigzag-edged and topological nanoribbons hosting correlated quantum
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contribute to the development of predictive human in vitro models for ageing research while providing robust alternatives to animal experimentation. Where to apply Website https://emploi.cnrs.fr/Offres
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. Collaborate with subject matter experts and exam developers in item writing, item review and the design, development and evaluation of assessments. Design and build robust infrastructure for assessment data
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historical corpora. You will test whether these patterns are universal and build a robust open-source pipeline, and join an interdisciplinary team combining semantic representation, multilingual NLP, and
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robust tools for prediction and management of extreme events in high-dimensional, directed systems. The project is funded by an M1 Open Competition grant from the Dutch research council (NWO