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terms of publications Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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stages of PhD submission * Strong track record of scientific contribution, as evidenced by publications, preprints, or submitted manuscripts * Experience in coding in Python or MATLAB * Please see the full
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, AMBER/OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or patient contact? No Physical Demands
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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, polygenic scores). Proficiency in statistical methods. Basic programming skills (e.g., UNIX/Linux, Python, R). Experience leading/managing a research project. Excellent scientific writing skills. Language
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, Python, or Mplus. Global collaboration: Coordinating expert meetings and maintaining partnerships with international collaborators, governments, and academic institutions. Research leadership: Developing
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are welcome. Demonstrated proficiency in data management, data harmonization, and advanced data analysis techniques. Strong programming skills in Python, R, and/or similar software. Experience working with