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quality and tool wear Analyze industrial sensor data (e.g., vibration, power, acoustic signals) to detect anomalies and trends Combine physical process models with data-driven methods to improve prediction
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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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/1163119355/ Interested applicants should upload the following documents: CV Motivation statement (please indicate your earliest availability date) Grades from bachelor and master studies Different projects can
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In this dynamic role, you will serve as the main point of contact for two active professorships. Your main responsibility will be managing the budget of the professorships, which includes internal
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acquisition, data processing and data analysis. The group is supported by IT and bioinformatics experts and by the metabolomics and genomics teams of the FGCZ to support multi-omics approaches. We are looking
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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, you will ensure the smooth functioning of the group's day-to-day operations and contribute to its broader mission. You will handle administrative processes related to finance, human resources
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are a self-motivated and creative person with critical thinking skills. You like to work as part of an interdisciplinary team, and love to advance your understanding of biogeochemical processes and
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on insulator (LNOI) platform holds a clear advantage over other integrated optics platforms as its high second order nonlinearity allows for efficient entangled qubits generation and high-speed signal modulation
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. Knowledge of water treatment processes is desired, but not necessary. Good knowledge of English (spoken and written) is essential. Applicants should hold a MSc degree (or equivalent) in environmental