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techniques to enhance MT use, thus improving the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data
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techniques to enhance MT use, thus improving the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data
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leave; working hours that can be discussed and arranged so that they allow for the best possible work-life balance; there is a strong focus on vitality and you can make use of the sports facilities
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skills. The PostDoc position is part of the NWO-funded VIDI project ‘Fueling the fire: How do social media contribute to polarization?’ (PI prof. dr. Sanne Kruikemeier) and is embedded in the Strategic
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Vacancies Postdoc position on deep learning based medical imaging for medical robot Key takeaways In this role, you will help develop and implement cutting-edge AI solutions for real-time, image
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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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technology. INCREC aims to understand the creative process of translation of literary and audiovisual content and its reception by users with various techniques to enhance MT use, thus improving
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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
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electronics or power devices? We are seeking a highly motivated postdoctoral fellow to join our research team in an ambitious 2-year project. You’ll be part of an excellent team at the Electromechanics and
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looking for ambitious postdocs. Your research is part of the Soft Matter Group: https://iop.fnwi.uva.nl/scm/ Join Us! We are seeking exceptional candidates for a postdoc in the Soft Matter group