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machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in multi-national research and infrastructure programmes
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ecological research with genetic data previous experience in machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in
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. Desirable and meritorious: Postdoctoral experience. Practical experience in multivariate statistics, machine learning and statistical modelling. Experience in teaching and development of teaching material
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, molecular omic, and neuroimaging data using machine learning Project: Stroke is a leading cause of death and disability worldwide. Ischemic stroke is heterogeneous both in terms of etiology and outcomes
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of four developers and engineers. SciLifeLab Serve offers machine learning model serving, app hosting, web-based integrated development environments, and other tools to life science researchers affiliated
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to develop other display platforms and machine learning/AI competencies for antibody development. The unit will have a close collaboration with the “Therapeutic Protein Engineering” unit consisting of six
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science and machine learning/AI. Examples of supported scientific areas span from precision medicine and diagnostics, to fundamental cell biology, and evolutionary/environmental research. The Support teams
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PhD student or the purchase of expensive equipment, as well as a well-designed career support program in the form of mentors and courses in e.g. project management. SciLifeLab is an academic