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mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to participate in developing research
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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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. You will be contributing to specifically the area of design adaption strategies for agriculture in different regions using crop modelling, and co-developing adaptation plans with local actors to address
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. You will be contributing to specifically the area of design adaption strategies for agriculture in different regions using crop modelling, and co-developing adaptation plans with local actors to address
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an interdisciplinary research environment aimed at achieving a comprehensive understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working
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? At the Netherlands Cancer Institute, we all want the same thing: to make a difference in the world of cancer together. Quite something but not impossible. Here, science and care work together on innovation. Time and
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working productively with others who may have different skillsets and knowledge. You will need to be comfortable using Free and Open Source Software (FOSS) and have demonstrable experience in Python, and/or
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science