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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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an international, collaborative environment. The Role The Mountain Cryosphere Group is seeking a motivated Postdoctoral Researcher (within 3 years of PhD completion) to develop innovative workflows for monitoring
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, exoskeletons and force augmentation, manipulation and dexterous manipulators, telepresence and teleoperation, industrial automation and robotics, active perception and learning, inspection robotics, hyper
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to perform correlative operando measurements Essential requirements PhD in Material Science, Chemistry or Physics or equivalent degree Hands-on experience in electrochemistry Hands-on experience in Raman and
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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, exoskeletons and force augmentation, manipulation and dexterous manipulators, telepresence and teleoperation, industrial automation and robotics, active perception and learning, inspection robotics, hyper
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intelligent robots. Developing adaptive learning and deployment frameworks enabling secure, trustworthy, and robust operation of AI models embedded in CPS. Conducting empirical and experimental studies at scale
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/Offerte_di_lavoro_FBK_is_looking_for_a_Researcher_i… Requirements Research FieldOtherEducation LevelPhD or equivalent Specific Requirements The ideal candidate must have the following requirements: PhD degree, preferably in the field