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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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analysis, and/or qualitative/quantitative methods. A demonstrated interest in topics pursued by the Chair team, such as knowledge creation, knowledge management, innovation processes, digital technology and
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral
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team members Perform accelerated optical degradation tests of transparent conductive materials Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a
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8 Mar 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other
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, serving as a basis for statistical evaluations of stone formats, brick bonds, and the like. Where applicable, you also perform geometrical analysis of vault geometries and traces of formwork. You interact
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and