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Field
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composition, processing, and consumer responses. The AI system developed will utilize advanced techniques such as machine learning, natural language processing, and predictive modeling to detect potential
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with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
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programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
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As a postdoc, the following is required: You hold a PhD in computer science, epidemiology, econometrics, machine learning, artificial intelligence, mathematics, data science, medical informatics, or a
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immunology to understand fundamentals of adaptive immune recognition, to design next-generation therapeutics and diagnostics. Model antibody-antigen interaction using machine learning. Develop and apply
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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 in climate
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machine learning in order to release this information and make it available for scientists and conservation biologists around the world. The project aims to accelerate the identification and ecological
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; Demonstrated interest in research on the intersection of society and AI, preferably as it relates to forms of algorithmic bias; Experience with machine learning or computational modeling; Strong quantitative
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Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques, hisopathology) is
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of Computer Science, Computer Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques