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with dyadic research would be an asset. Demonstrated expertise with quantitative research methods and analysis. A strong or growing publication record. Excellent organizational, time management, and
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Qualifications PhD in public health or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self
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: • Conducting substantive, methodologically rigorous quantitative research analyses • Participating in study design, quality assurance testing, documenting coding methods, and interpreting results
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self-management, and detail-oriented approach. Ability to adapt and navigate complex health systems and
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lasers (ECDL, Ti:Sa, Fiber), stabilization systems (optical phase lock loop, high-finesse cavity), digital and analog control electronics, active diffractive optical elements (spatial light modulators
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: • Conducting substantive, methodologically rigorous quantitative research analyses • Participating in study design, quality assurance testing, documenting coding methods, and interpreting results; • Act as
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
to understand cumulative climate risks, specifically to produce hazard maps and multi-criteria hazard risk assessment methods integrating multiple parameters to estimate the spatial susceptibility of key climate
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technology. Moreover, the close connection with the clinical environment allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. RESPONSIBILITIES
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(LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover, the close connection with the clinical environment allows for translation of novel methods to our cancer clinics in