252 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Netherlands
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Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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) . You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship About 21% of the world’s forest area is currently designated under legal protection
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/science and http://workingat.leiden.edu/ . What you bring We are particularly interested in candidates whose work complements and expands our existing strengths in complex systems, colloidal particles
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appointment, actively collaborating with and working at both sites. Where to apply Website https://www.academictransfer.com/en/jobs/362785/phd-position-ultrafast-magnetis… Requirements Specific Requirements
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Delft's open-source VR-based virtual laboratory developed for robotics education in AEC. It provides a virtual learning environment, integrates Rhino/Grasshopper workflows, and connects physical and
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to understand how complex biological functions emerge from interactions between individual cells. Where to apply Website https://www.academictransfer.com/en/jobs/362789/phd-learning-interactions-in-co
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project topics can be found at https://indibrain.eu/recruitment . OPEN POSITION: Project 5: Modeling Individual Brain Differences using Deep Learning & Vision Neuroscience: This project sits
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% of your time), including tutorials and supervision of Bachelor’s theses. This is what we ask of you This is an interdisciplinary project that combines machine learning and AI, probabilistic risk
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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex