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). If you have any questions about the procedure, please contact Mrs. Ina Hazejager, (s.a.hazejager@lacdr.leidenuniv.nl ) Selection process: To apply for this vacancy, please submit your application online
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is an asset. A collaborative mindset and experience working in interdisciplinary environments. Preferred: Experience with advanced AI techniques (e.g. deep learning, computer vision, NLP) in agritech
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https://www.academictransfer.com/en/jobs/354348/postdoc-position-on-ai-based-tr… Requirements Specific Requirements PhD in a relevant field (e.g., medical imaging, computer vision, AI) Expertise in
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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in chemistry, biochemistry or process engineering with a focus on ECLS and genomics is required for this post. Preference will be given to applicants with a PhD. Additional requirements Knowledge
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efficiency; promoting sustainability by identifying and implementing sustainable methods, materials, and processes in workplace development; fostering collaboration across sites by building a network of REFM
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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translation processes while making them animal-free. This will accelerate the development of new medicines, medical devices, and food ingredients that enhance human health, by replacing animal testing, which is