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Field
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between biology and artificial intelligence. Strong collaborative skills, analytical ability, and the capacity to work independently. Merits: Education or training in computer vision, machine learning, deep
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conduct scientific research. You have a background in structural engineering; Or at least a strong interest. You have a background in computer engineering and visual computing; Or at least a strong interest
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positions to pursue PhD projects in the diverse areas of the life sciences. We are looking for young scientists (m/f/d) with a strong interest in interdisciplinary projects to image cell dynamics from
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for courses related to Cyber-physical systems, electronics lab work or applied image/data processing. Profile You hold a Master degree in Computer Science, Electronics Engineering or you will have obtained it
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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Mathematics, Computational Physics, Computational Biology Additional Information Selection process The application must include the following A CV A motivation letter One or two letters of recommendation
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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively
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of dust in the Earth system. The central research focus of the future post holder will be the further development of the dust module in the global aerosol-atmosphere model ICON-HAM, as
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integrate genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.