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Field
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the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data from eye-tracking, retrospective think-aloud
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motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully completed a PhD
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qualitative research skills and preferably experience in conducting expert interviews and fieldwork independently Proven track record in publishing in high-quality international peer-reviewed journals
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-seeking, blood-feeding, and flight patterns of mosquitoes using a combination of laboratory, semi-field, and field approaches. Your work will involve innovative techniques such as 3D flight tracking and
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applying and developing deep learning models (e.g. CNNs, ViTs, or geometric deep learning) Proficiency in Python and PyTorch Motivation to work with interdisciplinary clinical partners A track record of
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and machine learning for industrial image analysis (in thesemiconductor industry), B) Automatic geometric vessel tree tracking and analysis in medical image analysis applications, Assist in
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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to the project topic, and have a demonstrated track record of scientific and/or applied research publications. Ideally, you have knowledge of Northwestern European plant species and a solid understanding of
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/optimization is an advantage. Track record of scientific publications in relevant fields (thermal systems, solar energy, PV/T, energy in buildings). Ability to work independently and in a team, with strong
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, or similar) and data analysis. Familiarity with heat pump systems, building energy simulations, or control/optimization is an advantage. Track record of scientific publications in relevant fields (thermal