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representation theory, expand research capacity of Dr. Rupert, facilitate increasing the number of publications and grant success, and provide an opportunity for Dr. Rupert to mentor a future generation of
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3.7. Knowledge of French is not required for acceptance into the program. Criteria for Selection Candidates will be evaluated on their academic history, leadership potential, and dedication to and
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phonology. Though phonological theories are diverse, they contain recurrent axioms and atoms: segments, features, prosodic units, et cetera. We hypothesise that these units of representation are explicable in
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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phonology. Though phonological theories are diverse, they contain recurrent axioms and atoms: segments, features, prosodic units, et cetera. We hypothesise that these units of representation are explicable in
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manner. We are also open to discussing flexible working arrangements. Are you an ambitious atmospheric modeller ready to improve the representation of ice nucleation in weather and climate models? Do you
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and implementing NLP pipelines for clinical text processing, semantic annotation, and representation learning Developing embedding-based representations of clinical variables and documents to support
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
of hybrid modeling frameworks for electromobility, combining physical models, graph-based representations, and data-driven approaches. It aims at integrating large-scale mobility data to improve
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, et cetera. We hypothesise that these units of representation are explicable in terms of the interaction of phonetics with resource limitations on human cognition (resource rationality). Separately
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning