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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines
analytics using R. Strong written and verbal communication skills in English. Familiarity with LaTeX is a plus. Must be currently enrolled in a master's program at the University of Basel. We offer you
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Title: Position Type: Student programs Position Location: Lausanne, Vaud 1015, Switzerland Subject Area: Fluid Mechanics Appl Deadline: 2025/12/15 11:59PM (posted 2025/07/24) Position Description: Apply
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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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, world-class research program in the field of sustainable engineering. We encourage applications from outstanding candidates with visible expertise in this broad field which ranges from sustainable
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systems theory, signal processing, and optimization is a plus. Background on 3D printing, process modeling, and systems design is a plus. An excellent knowledge (written/oral) of English is a must
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processing, or condition monitoring Programming proficiency in Python, MATLAB, or comparable environments Strong interest in applying AI to real-world manufacturing problems Required people skills Self
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and enthusiasm for designing and running high-quality programs and for creating opportunities that enable collaboration and growth. You will be responsible for the implementation and execution
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80%-100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project