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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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surveys of health behavior, substance use (e.g. tobacco, alcohol, cannabis), and cancer-related topics. Collaborate on projects related to tobacco and lung cancer as member of a multidisciplinary team of
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, Cell Biology, Biochemistry, Bioinformatics, Computational Physics, or a related field. Background in either scientific computing or experimental design required. Consideration to interview will also be
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research experience, preferred. Fungal Biology, Biochemistry or Immunology background is preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science
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and Experience Ph.D., M.D. in a biological science or in a related field. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands
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, with additional years dependent on funding and satisfactory performance. Duties include: Lead analyses of longitudinal epidemiologic and molecular data. Develop and apply statistical approaches
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. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Must be able to effectively perform lab bench work. Overview Statement Posting Details Special Instructions to Applicants
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Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Applicants should submit: (1) a cover letter describing their
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to work with stakeholders across New Jersey and the mid-Atlantic region and to provide physical insights for risk assessment on topics such as sea level, air quality, and agricultural impacts, among others