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for this position: (nearly) completed PhD and an excellent (early career) track record in publishing research findings in recognized scientific journals in the field of cognitive psychology, cognitive science
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from eye-tracking, retrospective think-aloud interviews, translated material, diaries and questionnaires from professional translators and users. The project is hiring a postdoc who will work alongside
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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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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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-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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computational methods for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific
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research in the green life sciences. In particular, they develop and apply novel computational methods for the analysis and integration of –omics data. The group has a strong track record in (integrative
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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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PyTorch. Track record of publishing in top Vision/Graphics/Animation and Human-Computer Interaction conferences/journals such as CVPR, ICCV, ICMI, SIGGRAPH, or similar conferences/journals. Strong