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Field
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language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods
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skills (e.g., Prism, Python/R, HTS analytics) and clear scientific writing/presentation ability · Genuine enthusiasm for mentoring and cross-disciplinary teamwork City of Hope employees pay is
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., Python, R, bash). At least one publication in an international peer-reviewed journal of an end-to-end software developed by the candidate Documented experience with Nextflow or Snakemake. Documented
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. The candidate should have relevant scientific publications, showcasing research interest and experience in the core areas of the position The candidate must be proficient in Python, C++ or Java and familiar with
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knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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Python, R, or similar Excellent analytical and problem-solving skills Ability to work both independently and collaboratively in a team Previous research experience and publication record in a related field
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responsibilities will include: Develop Automated Workflows: Utilise Python scripting (or equivalent) to automate job preparation, submission, analysis, and visualisation for high-throughput quantum chemistry
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and interpersonal skills. • Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.