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-2024 (cu.edu) Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Post-Doc: A doctoral level degree (PhD, MD, MD/PhD) in immunology, stem cell biology
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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sources Design reproducible studies and evaluate models using appropriate analytical methods Build and evaluate reproducible longitudinal models and research software Write scientific articles and
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through top publications and conferences. Shaping the future of AI for science across academia, industry, and entrepreneurship. What you'll bring Essential PhD in Statistical Genetics, Computational Biology
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to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
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. Qualifications PhD in a related field A well-qualified candidate may also possess: Doctoral degree in Chemistry or a closely related field. Familiarity with appropriate laboratory and/or technical equipment
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/Qualifications - PhD in Psychology, Cognitive Science, or Neuroscience. - Proven skills in qualitative and narrative analysis (interviews, thematic coding, text analysis software). - Experience in
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members (monitoring equipment and reagents, managing cell banks, and participating in ordering supplies, where applicable). Participation in the technical supervision of Master’s and PhD students. Where
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Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Candidates must have a PhD in nuclear
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advanced epidemiological methods and appropriate statistical software. While no one specific programing language is preferred, the ability to do advanced data cleaning and statistical analyses is required