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                : Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in 
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                eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the hiring 
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                Bioinformatics (PhD) Exploration of large chemical spaces with deep reinforcement and active learning Ritwik Bhattacharjee Doctor of Philosophy in Interdisciplinary Studies (PhD) A critical psychosocial analysis 
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                centrifugal, digital, capillary, pressure, or microvalve-based microfluidics. Experience in deep-learning and artificial intelligence in the field of microfluidics to support applications such as high 
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                trypanosomiasis in Malawian wildlife Mohit Pandey Doctor of Philosophy in Bioinformatics (PhD) Exploration of large chemical spaces with deep reinforcement and active learning Louise Ramos Doctor of Philosophy in