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the field. Ability to perform in-depth and critical data analyses and, where relevant, data modelling and visualisation through the use of statistical software relevant to the Position applied. Ability
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, group theory, and/or graph theory will be necessary. Experience in modelling biological processes, and in algorithm development or computation will also be valuable. Proven commitment to proactively
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independently in techniques such as Mass spectrometry, and traditional laboratory-based techniques such as histology (IHC and IF), western blots and ELISAs. competency working with small animal models, and
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to future disturbance. A plot-level statistical model will be developed to understand drivers and identify where near-term tree mortality will occur. A second coarser-resolution model will be developed over
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TEC. 2. OBJECTIVES: The project encompasses three main objectives that the fellow must achieve: (1) Develop models for identifying named entities in Portuguese in radiology reports, (2) Develop
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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Completion or near completion of a PhD in the discipline area (molecular biology, immunology, cancer research, pharmaceuticals). Experience in animal models of disease. Evidence of publications in reputed
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big data and advanced methods for modeling exposures, we will establish real-world patterns of hormonal contraceptive use and mental disorders, and identify potential moderating factors such as
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. Proficiency in using PyTorch and other machine learning libraries for developing and implementing machine learning models is essential. Ability to prepare comprehensive written reports, including the use
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon