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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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residual stress analysis. The objective will be to investigate these phenomena using simulation tools and via sophisticated experiments. Besides, the candidate is expected to supervise BSc-/MSc students
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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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, vaporization, solidification), vapor plume formation dynamics, and residual stress analysis. The objective will be to investigate these phenomena using simulation tools and via sophisticated experiments. Besides
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(GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral communication skills
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chemical analysis or imaging Enthusiasm for designing of equipment Highly motivated to work in an interdisciplinary group Our offer This research, part of a large industrial project, will be carried out
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). The candidate will be responsible for developing innovative approaches and new methods for data analysis aimed at chemically classifying pathological protein aggregates in blood from patients at various stages
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or GPU based) and data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral communication skills in English