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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a Pre-Doc Specialist position in the Robotics
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a Pre-Doc Specialist position in the Robotics
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent
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should have a Ph.D. in a relevant quantitative field (e.g. computer science, Bioinformatics, Statistics, Computational Biology, Statistical Genetics), a strong background in machine learning or
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/machine learning approaches. The successful candidate will lead project design, coordination, and experimental execution, providing leadership in project direction. There will be opportunities to work
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N2O from wetlands. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the
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. Bioinformatics analysis of data will include use of population genomics techniques, phylogenetics and machine-learning development. The successful candidate will be expected to write up results as manuscripts
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, medical imaging (ultrasound and micro-CT), and AI/machine learning approaches. The successful candidate will lead project design, coordination, and experimental execution, providing leadership in
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will use causal machine learning and other statistical methods to understand how treatment effects vary across individuals, populations and over time. Methodological work will address real-world