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datasets – though all parts will be under supervision and in collaboration with other team members. You will also develop and apply machine learning-based classifiers for cell-type identification, and
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/R, machine learning frameworks, and dashboarding tools (e.g., Streamlit, Superset, Grafana, PowerBI). Familiarity with various types of databases, including NoSQL (e.g. MongoDB), graph databases (e.g
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molecular biology and cell biology techniques. Basic procedures include but are not limited to: pipetting; cell and tissue culture, handling of small laboratory animals, etc. There will be continuous learning
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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include responding to inquiries, managing appointments and reimbursements for Postdocs and Visitors, and serving as a liaison with various stakeholders. This role will also handle appointment processing
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-on laboratory skills and troubleshooting mindset - Mechanical design and rapid prototyping (CAD, machining, 3D printing) - Instrumentation integration (sensors, cameras, data acquisition systems
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the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and
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Job Description The Administrative Specialist is responsible for developing a deep understanding of the academic and research programs of the AI & Machine Learning for Engineering Graduate Programs
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performing theoretical DFT calculations for solid-state systems and lattice dynamics calculations applying machine learning techniques to predict the solubility of pharmaceutical cocrystals supervising and
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organismal fitness, using MOO techniques, machine learning and genome-wide association studies. Yeast and bacteria are your primary models, but the analytical framework you develop will be broadly applicable