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. The following topics are included in these training chapters: • Artificial Intelligence and Machine Learning. • Explainable AI and Trustworthy AI. • Knowledge Representation and Semantic Technologies
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. Interest and experience with training/fine-tuning machine learning models would also be appreciated. Interest and knowledge of economic theoretical modelling would be a plus. Strong coding skills and
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: https://www.list.lu/ How will you contribute? Do you have proven skills in data science, machine learning, as well as in optimisation? We are looking for a highly motivated and talented Engineer to join
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WDSs and soft skills for the researchers and professionals of the future. The following topics are included in these training chapters: • Artificial Intelligence and Machine Learning. • Explainable
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will rely on: Developing machine learning-based surrogate AI models (physically informed neural networks) to predict the evolution of calcium carbonate precipitation rates associated with the reduction
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environment combining robotics-enabled genetic engineering, large-scale data acquisition, and machine-learning-driven design, to enable discoveries that are unachievable through traditional biological
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming
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with machine learning approaches Knowledge of muscle mechanics (Hill muscle model or similar) Previous work on simulated bodies or animal locomotion Your Role You will work collaboratively with a