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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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(NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration, with a focus on innovative statistical methods
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DESCRIPTION Duke University and North Carolina State University (NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration
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are diverse; with exciting ongoing grant-funded and pre- funded projects that include big-data, population health studies, mental health aspects of head and neck cancer outcomes, human papillomavirus (HPV), HPV
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for diverse social and homeostatic states. The lab uses a combination of circuit-based strategies and custom engineered designs to investigate how social and non-social salient information is encoded in neural
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Programme, and the field site in Kenya, and engage with investigators at all sites across various disciplines. The project will focus on conceptualizing, innovating, and implementing data-driven approaches
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. · Mentor a diverse group of undergraduate and graduate students. · Maintain accurate records of experiments and analyze data. Qualifications: · PhD in Chemistry, Biochemistry, Biomedical
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. The associate will have access to Duke’s resources that can support development in skills of grant writing, data analytics, building global and local research partnerships, and educational skills [JM1
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analytical abilities Capable of working independently on assigned projects while thriving in a team-oriented environment Preferences Experience in performing and analyzing bulk RNAseq/scRNAseq preferred
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publication in the above area, have laboratory and analytical skills, and be a critical thinker. Application shall include CV, a cover letter (with summary of research experiences and expected availability date