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PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in computational chemistry. Advanced programming skills
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sciences, or a related field. You have a strong background in quantitative research methods, including statistical modelling, data analysis, machine learning, and/or GIS analysis. You have proven expertise
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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 data infrastructure
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to perform within project timescales. You should have project management skills demonstrable from previous project experience. Competences in data analytics, machine learning / AI (for example in Python and
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project partnership, able to perform within project timescales. You should have project management skills demonstrable from previous project experience. Competences in data analytics, machine learning / AI
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biologists in this scientific endeavor. KeyGene leverages cutting-edge data science technologies for Crop Innovation. Their interdisciplinary team excels in applying innovative methods using machine learning
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-of-the-art, advanced methods, such as novel algorithms, sensor synergy, AI/machine learning and modelling, to improve understanding of complex processes, feedbacks and potential impacts. Priority will be given