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-based drug design Machine learning Molecular dynamics HTS data and SAR analysis Communicate with project teams and other departments: Interact with other experts in the project in various experimental
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communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required. Degree: PhD level in computer science, machine learning, bioinformatics
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 15 days ago
ENFIELD. Mines Saint-Étienne conducts research on sustainable AI from the angle of computational cost of machine learning and lifecycle assessment of AI systems. Scientific challenges: Language models and
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or oceanography. Research background should demonstrate competence -- or at least a clear and strong interest -- in artificial intelligence and machine learning to be applied in the field of environmental sciences
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. Fujii, K. & Nakajima, K. Harnessing disordered-ensemble quantum dynamics for machine learning. Phys Rev Appl 8, 024030 (2017). 2. Rudolph, M. S. et al, Generation of High-Resolution Handwritten Digits
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PhD in computer vision, AI, applied mathematics. Good programming skills is an important requisite, especially in python and C++. Autonomy, open-mindedness, and motivation Good English skills are also
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will be derived from these CSRS spectra by machine learning algorithms. Your mission is to set up and characterize backscattering CSRS microscopes and evaluate their functionality on cancer tissue. Your
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or as materials for transportation. Intensive calculations within the framework of density functional theory (DFT) will provide the basis for building machine-learning models to explore the range
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smart methodology (including machine learning) will be established to screen various dopants for MoS2 catalysts and identify potential materials with improved selectivity and activity. Context: The post
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developing a protocol gathering an array of state of-the-art computational techniques: ab initio methods, molecular dynamics, enhanced sampling techniques (metadynamics, umbrella sampling) and machine learning