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Field
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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of CLiPS, which focuses on the application of statistical and machine learning methods, trained on corpus data, to explain human language acquisition and processing data, and to develop automatic text
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. Qualifications: • A PhD in applied mathematics, statistics, electrical engineering or computational sciences completed within the past 5 years (or soon to be completed) • Experience in numerical analysis and
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. There are currently 30 MD and PhD faculty members, 16 Fellows, 2 Residents and 8 Physician Extenders and Cardiovascular Sciences Technicians. A clinical, administrative, and research support staff numbering nearly 100
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2025, with preference for an earlier start. The position is planned for a minimum of one year, with high likelihood of, and preference for, extension. Required Qualifications - PhD in psychology or a
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policy, environmental science, or a related field at the PhD level with zero to five years of employment experience. Technical background in economics with a focus on the mineral and energy sectors. Proven
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Infrastructure Engineering. Undergraduate and graduate degrees (Master and PhD) are offered in civil & environmental engineering, computer engineering, electrical and electronic engineering, and mechanical
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- Salaried 12 Month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in Bioinformatics, Computational Biology, Epidemiology, Biostatistics or a related science
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Qualifications PhD received within the past 3 years in social sciences, environmental studies, environmental humanities, arts, education, urban planning, or related field. Experience with participatory research