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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke
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activities. Collaborate with academic partners, National Public Health Institutes, ministries of health, and other public health stakeholders. Where to apply Website https://www.academictransfer.com/en/jobs
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leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written and oral communication skills in English; The ability to conduct
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. Experience with big data analytics, Python, and an affinity for acquiring new skills in this area. Ability to collaborate with both scientific and industrial partners. TU Delft (Delft University of Technology
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systems. Experience working with sensor data, including data collection, processing, or analysis. Programming skills and experience in Python, JavaScript or comparable programming languages. Excellent
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interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present
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engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in sustainable urban mobility. Job requirements PhD in OR and other related
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, the Section is in charge of the improvement of processing algorithms during the exploitation phase of a mission. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds