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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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, 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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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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(master's level or above) or equivalent, in Computer Science, Software Engineering, Computational Science, Physics, Astrophysics, or a related field. Programming Skills: Proven proficiency in programming
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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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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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for the position: Solid knowledge of machine learning, particularly for time series analysis and event detection Solid programming skills in C#, C++, or .NET-based languages (in addition to Python) Experience with
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the spatiotemporal dynamics of neural activity at the local field potential and single-unit levels that support language processing on the cognitive side and epileptic seizures on the pathological side. We use a
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, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In
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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