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Field
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wear, intrusion and rockfall detection, as well as real time traffic management and train integrity, including real-time train location along its route and continuous monitoring of its integrity by
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Conditions: This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide
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, physiology, eye-tracking, or related wearable measurements. ● Strong statistical analysis skills. ● Strong programming skills in a programming language used for data manipulation and statistical analysis
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- Postdoctoral Research Associate Business Title: Postdoctoral Research Associate Employee Type: Faculty (+) (Fixed Term) Position Term: 12 Month Position Details: Summary of Duties: The Apparel, Merchandising
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. Required Certification, Licensure/Other Credentials Preferred Qualifications Experience with wearable biosensing or physiological data collection Experience with virtual reality (VR) or simulation-based
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organization. Changing allowance If you are required to wear Radboudumc work clothing and change outside working hours, you will receive a changing allowance of €80 gross per month for a full-time position
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using methods such as surveys, interviews, focus groups, roadway observations, driving simulators, eye tracking, video, GPS or vehicle telematics, mobile devices, wearable or physiological sensors, and
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: This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard
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: This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard
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reconstruction, and analysis of human movement, gait, posture, or motor behaviour. Experience integrating multimodal datasets (e.g., video, IMUs, EMG, force plates, wearable sensors). Familiarity with modern deep