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Field
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the employment procedure. Selection process More information Questions regarding this position can be directed to Dr. Koen Verhoeven (https://nioo.knaw.nl/nl/employees/koen-verhoeven ). Application procedure
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empirical strand develops and analyses behavioural experiments (reaction times, eye fixations) and EEG data. The computational strand simulates behavioural and neural data related to processing and memory
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to design the experimental procedure, and analyse and write up the findings for academic publications. You will also be part of the Institute of Biodiversity and Ecosystem Dynamics and attend group meetings
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outcomes, through learning activities and assessment processes fitting these learning outcomes. Together, both researchers focus on aligning at curriculum level the learning outcomes, learning activities and
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raw materials, green routes for polymer synthesis and processing, as well as chemical recycling/reprocessing methods (biodegradability, depolymerization, dynamic bonds) to make the end-of-life
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manipulation, tactile sensing or haptic systems. Proficiency in programming (Python, C++, MATLAB, or similar). Experience with robotic platforms and hardware. Knowledge of machine learning and signal processing
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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for a tax exemption on a part of their salary during the first five years in the Netherlands. Selection process For more information about the position, please contact Marnix Medema, professor
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platforms and hardware. Knowledge of machine learning and signal processing techniques. Excellent written and verbal communication skills in English. Strong analytical and problem-solving abilities
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particular circumstances that the applicants disclose (e.g. parental leave, caring duties, part-time jobs to support studies, disabilities etc.) to ensure an inclusive and fair recruitment process that does