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that integrate machine learning with energy system optimization to make such policy optimization possible. The analysis will include policies for EV adoption, EV charging infrastructure, and electricity pricing
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with the lab’s objectives. Support the next generation of scientists (PhD students, postdocs), fostering a collaborative and productive research environment. Key areas of support include design analysis
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therapeutic targets. These efforts will generate large-scale, rich perturbation datasets, requiring the development of sophisticated approaches and methods incorporating facets such as machine learning and
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understanding and practical experience with machine learning approaches for biomarker discovery and predictive modeling, specifically with hands-on experience in developing and applying neuronal networks
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reports Profile MSc or PhD in Earth Sciences or closely related field Proven advanced expertise in 3D geological modelling Experience in managing diverse geological datasets (e.g., GIS data, 3D meshes
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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Alps documentation of the technical and scientific aspects regarding the geological model(s) in peer-reviewed papers and technical reports Profile MSc or PhD in Earth Sciences or closely related field
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founded by Innosuisse and the project is in close collaboration with an industrial partner. Profile Applicants for the position are expected to have earned a PhD in heterogeneous catalysis with documented