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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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collaboration with modelling (WP3) and societal uptake (WP5) partners; · Development of standardized indicators for evaluating technical, ecological, and societal outcomes. This WP involves close
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so far and to sophisticate them and establishing a platform to achieve international guidelines. The postdoc will work closely with two PhD candidates. One of these candidates investigates
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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Application deadline: 12 June 2025 Apply now Empowering rural areas is crucial to achieve climate neutrality by 2050. Rural areas are home for one-third of the European Union (EU) population, representing 83
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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a regenerative food system in the Netherlands? Are you interested in being embedded in an interdisciplinary research team? Do you have a PhD degree and skills set that puts you in a good position to
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-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based on two current ongoing PhD projects, design and test