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Field
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simulations for composites. Sensor integration for real-time monitoring and predictive analytics. AI-driven digital tools for material optimization and certification processes. Collaborative work across
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mentoring students Job Requirement Ph.D. in Material Science, Engineering, Robotics, Sensors, or a closely related field Strong background in formulations for 3D printing Experience in soft robotics
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 20 days ago
: - Knowledge acquired along the path/academic training in: i) Animal behavior, specifically in tasks related to fear and aversion; ii) Calcium imaging with sensors through fiber photometry and/or miniaturized
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software. Experience with experimental and instrumentation measurements setup for noise and vibration (e.g., sound intensity probes, vibration sensors, or similar instrumentation) involving microphones and
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high frequency sensor data. The candidate will also need data management and statistical skills, ideally in the R platform. We offer a competitive salary, medical coverage, and opportunities
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environmental monitoring data and access to Fjordlab marine research infrastructure at NTNU Ålesund, enabling validation of models using real-world observations and sensor networks. The postdoctoral fellowship
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Are you a power electronics engineer, or an engineer with a practical background in radio frequency electronics, analogue electronics, pulsed power, or sensor development, looking to apply your
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sensors The successful candidate will work within a collaborative research environment and contribute to advancing innovative radar sensing technologies. About Monash University At Monash , work feels
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and additive manufacturing; • Proficiency in programming; • Proficiency in additive manufacturing-related software, including 3D modelling and path planning; • Ability to integrate sensors (e.g
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. Computational Protein Design: Experience with generative models (e.g., AlphaFold, RFdiffusion, ProteinMPNN) for designing novel condensate drivers or sensors. Collaborative and interdisciplinary research