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: apos.contrattidiricerca@unibo.it Contact phone: 051 209 8951 - 9612 - 8165 Annual budget: 54391 Frequency of calls: 12 mesi International mobility required: no Website for additional job details https://bandi.unibo.it
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, contact or collision sensors, proprioceptive arrays) on mobile platforms (wheeled/rolling and/or aerial). Designing and integrating a soft shell for protecting the robot from collisions. Developing methods
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 1 month ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) Development of soft-sensors connected to particle-based separation models to control flotation processes With cutting-edge research in
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microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and
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-manipulation generation, balancing regulation, physical interaction and teleoperation control. We are looking for an exceptional and highly motivated scientist to work on situational awareness systems for mobile
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Plan (PRR), within the Mobilizing Agendas for Business Innovation. Reference: BI/UTAD/105/2025 Scientific area/research field: Computer Sciences Researcher profile: First Stage Researcher (R1) Admission
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sensor systems or mobile/web apps Document experiments, model architectures, training procedures, and results Minimum Qualifications Full Employment Eligibility Requirements can be found here: https
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analysis, data pipelines, or applied analytics Experience with communication protocols, such as CAN and Ethernet, used on mobile vehicles Experience working in multidisciplinary R&D teams and managing
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Article) PMID: 23811687 Nature Cell Biology 13: 310-316 (2011) (Cover Article) PMID: 21336310 Molecular Cell 37: 668-678 (2010) (Cover Article) PMID: 20227371 Lab website: https://www.med.upenn.edu/apps
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is