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, military status, national origin, pregnancy, race, religion, sex, sexual orientation, or veteran status. Final candidates are subject to successful completion of a background check. Additional Information
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selected Master and PhD students with financial support. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408577/cbs-assistant-profe… Requirements Additional Information STATUS
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conducting research "in the wild" (e.g., field deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an
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quality monitoring, and/or nature-based water treatment designs. In addition, the candidate should have some experience in AI, machine learning, and/or managing large data sets related to water resources
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information from clinical notes ? Implementing machine learning models for prediction and classification tasks in cardiovascular populations ? Cleaning, preparing, and managing large healthcare datasets
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authorship. Experience in the field of human genomics, machine learning and generative AI. Experience in analysis of large-scale human omics datasets and electronic health records. Expertise in at least one
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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and to large, longer-term petabyte-scale storage (~6 PB). The computer cluster offers over 400 software modules (e.g., Gromacs, Gaussian, Mathematica, MATLAB, MOLPRO, Turbomole). Responsibilities
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within applied mathematics, materials science, physics and building science. Mathematical statistics is an important part of these four areas of research. Relevant applications include machine learning
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architectures for TTS and ASR Entrenamiento de modelos a gran escala utilizando frameworks modernos de deep learning / Training large-scale models using modern deep learning frameworks Publicaciones en