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above Strong mathematical and algorithmic background A pro-active approach to achieving research excellence Commitment, team working and a critical mind Fluent written and verbal communication skills in
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the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics
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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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theoretical foundations of modern learning algorithms. The position will be supervised by Florence d’Alché-Buc, Charlotte Laclau, and with Rémi Flamary and Karim Lounici from École Polytechnique
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. The aim will therefore be to define an algorithm for calculating these indicators and to implement it in the GeoClimate software. To a lesser extent, the recruited researcher will participate in
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these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed
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signal-to noise Post-processing: denoising, reconstruction algorithms Comparison with high-field MRI: deep-learning and other AI modalities for low-field MRI optimization Close cooperation with
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) 3- Empirically challenging the concepts, their practical relevance, and our solutions through reanalysis of lineage tracing data, comparison of lineage tracing technics and algorithms, mathematical
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for the direct spatio-temporal measurement of the turbulent dissipation rate at a solid wall. New post-processing algorithms are also developed for Particle Image Velocimetry to measure extremely dense 3D time
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate