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Field
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element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
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, linking Census of Manufacturing data with data from the National Labor Relations Board and the Federal Mediation and Conciliation Service using name-and-address matching. The production of the estimates
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background and strong analytical skills in quantum physics and applied mathematics, including familiarity with exact and approximate methods to solve for and control the time-evolution of quantum many-body
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how people estimate quantities. The project combines theoretical modeling with behavioral experiments to advance our understanding of the cognitive processes that connect our sense of magnitude with
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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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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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, development needs, and interest. An estimated 20–25% of the population is affected by inflammatory skin diseases, the most common of which include eczema, psoriasis and acne. Easing the burden of these diseases
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environmental and social impacts; 2) enhance the integrity and efficiency of the FPL’s research efforts through the development, evaluation, and application of modern statistical methods; and 3) provide life
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mixed methods, including interviews, participant observations, document studies, quantitative approaches and social interventions. The candidate must be familiar with some of these approaches. • Good oral
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming