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to predict and design microbial community dynamics and functions Apply active learning frameworks to optimize metabolic activities of microbial communities in silico Required Qualifications at this Level BS in
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Laboratoire de Physique de l'École Normale Supérieure (LPENS) à Paris, tandis que la théorie et la modélisation numérique seront assurées par le CELIA et l'ILM. Les ressources de calcul haute performance (HPC
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Bessel beams, femtosecond laser pulses can be absorbed via nonlinear ionization in extremely confined nano-plasmas with very high energy densities, which lead to the generation of Warm Dense Matter [2
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. We are playing a decisive role in shaping far-reaching processes of global change—from energy transition to artificial intelligence—through outstanding scientific knowledge and innovative academic
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; Continuum Mechanics; Geometry and Mathematical Physics; Mathematical Biology and Healthcare; Mathematical Data Science; Nonlinear Systems; Numerical Analysis; Optimization; Quantitative Methods for Finance
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nonlinear, including neural networks), loss functions (squared error, cross entropy, hinge, exponential), bias and variance trade-off, ensemble methods (bagging and boosting), optimization techniques in ML
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computational methods, that leverage high-performance computing power, to develop advanced tools. The successful candidate will be expected to develop machine learning methods that integrate physical
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a functional. A key challenge lies in determining the regularity of solutions relative to parameters. For practical applications, choosing numerical methods with optimal convergence rates should align
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intern in multiagent trajectory optimization. The successful candidate will help develop and implement mixed-integer and nonlinear programming methods for coordinating multiagent UAV systems. This role
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direct access to state-of-the-art labs, cutting-edge infrastructure, and specialized development and product teams tailored to your project’s unique needs—facilitating rapid iteration and optimized drug