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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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19 Dec 2025 Job Information Organisation/Company Karlsruhe Institute of Technology Department KIT Center MathSEE Research Field All Biological sciences Chemistry Computer science Mathematics
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conferences and a three months research stay abroad with a cooperating partner is possible Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) www.hds
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Profile: Genuine interest in data science and one or more of its application domains: life and medical sciences, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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domains: life and medical sciences, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science
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and one or more of its application domains: life and medical sciences, earth sciences, energy systems, or material sciences A Masters degree with a strong academic background in mathematics
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“Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. The position is placed at the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum
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) conferences Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further