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Field
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, independent, and excited to tackle complex, interdisciplinary research questions. Job requirements Master's degree in computational biology, machine learning, bioinformatics, AI, or a related field Strong
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to understand, predict and prevent cardiovascular, neurovascular and other non-communicable diseases (NCDs) in the Brussels Capital Region. Research Context Urban populations are exposed to a complex mixture of
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population data will be considered a strong advantage. The ideal candidate is comfortable learning new analytical methods and working with large and complex datasets. Qualification requirements PhD stipends
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signals perceived, and how is information transmitted and integrated to ensure plant health, survival, biomass acquisition and seed formation? How can we manage, analyse and integrate complex, large-scale
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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perceive, discriminate, and process the biological information encoded in CHC profiles remains poorly understood. PhD Position: The PhD candidate will investigate the chemoreception networks involved in CHC
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complexity of tactics, techniques, and procedures that are supported, as well as justification for actions taken. This project aims to advance the state of AI-powered red agents by developing an adaptive
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28.07.2023, Academic staff Prof. Karen Alim’s group on Biological Physics and Morphogenesis at the TUM Campus Garching uses theoretical and experimental methods to investigate how flow networks self
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the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in which NC
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02.05.2022, Academic staff Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how the complex organism-scale behaviour in the slime mould Physarum polycephalum arises