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recognition systems and for automated, robot-assisted object reconstruction and quality inspection. What you will do During your internship, you will work on a research project involving fault detection
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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) Ultrafast detection of THz-controlled light emitters in quantum matter (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting February 1, 2026
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Stud. assistant (m/f/d) - Obj. Detection in clutter and Obj. Tracking in robotic hand (in Heilbronn)
. The focus here is robust multi-camera fusion, accurate object detection in cluttered scenes (bulk goods), and multi-modal tracking that combines camera data with tactile feedback. Using deep learning, multi
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Associate / PhD Student (m/f/x) Ultrafast detection of THz-controlled light emitters in quantum matter (subject to personal qualification employees are remunerated according to salary group E 13 TV-L
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faults that affect their performance and energy consumption. Effective and timely fault detection is essential to maintain optimal operation and reduce downtime. In this context, the application
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support from the Hector Foundation II. The aim is to carry out excellent translational cancer research in the fields of precision oncology, cancer prevention, early detection, and survivorship. The newly
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: BrainAGE is a machine learning-based biomarker that estimates biological brain age