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perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will
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researchers working on hyperspectral imaging, radiative transfer modelling, machine learning, agronomy, and plant genetics. You will also work with HYDRA-EO partners in Netherlands, Spain and Italy
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work to discover cell specific isoforms and relate them to pathological signatures and genetic risk factors in ALS patient tissue. You will apply supervised and unsupervised machine learning methods
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science approach and aims to use Machine Learning and Social Network Analysis methodology to 1. analyze the current and developing opinions of new clean energy technology among the Curaçao population and
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the programme; Acquire and manage funding for projects, for example through companies, public authorities and research and innovation funding schemes such as NWO, RVO and Horizon Europe; Translate and valorise
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. The project takes an explicit social science approach and aims to use Machine Learning and Social Network Analysis methodology to 1. analyze the current and developing opinions of new clean energy technology
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are looking for someone who thrives in a dynamic work environment. Where to apply Website https://www.academictransfer.com/en/jobs/357331/research-technician/apply/ Requirements Specific Requirements You bring
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impact. Strategic thinker with a people-centred and inclusive leadership style. Excellent communication skills in English (Dutch proficiency or willingness to learn is an advantage). Entrepreneurial
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the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based
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machine learning for fundamental physics. Want to know more about our organisation? Read more about working at the University of Amsterdam. If you feel the profile fits you, and you are interested in