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knowledge and training will be offered. Familiarity with statistical methods and/or programming languages (e.g., Python, R, STATA, and/or SPSS) is preferable. The candidate should demonstrate a keen interest
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an experimental trial to evaluate its efficacy. This PhD program will allow the student to acquire in-depth knowledge in qualitative and quantitative statistical methods, as well as in demographic analysis, and to
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) and José Blas Navarro Pastor (Methodology/Statistic). We are looking for a highly motivated candidate that will investigate intervention in youth at clinical high risk (CHR) for psychosis. Early
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: Knowledge of the principal network visualization and analysis tools (i.e., UCINET, Visone). Basic knowledge of programming languages and statistical programs (i.e.,R, STATA..). Interested applicants should
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related to health sciences High motivation on the topic Data analysis. Experience on computing basic or advance statistical analyses with SPSS, STATA, R or MPLUS Capacity to present oral communications
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Degree or equivalent Skills/Qualifications Knowledge of core physics (statistical physics, quantum mechanics, electromagnetism, classical mechanics) and mathematics/mathematical methods for physics
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11 Mar 2024 Job Information Organisation/Company Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) Research Field Mathematics » Applied mathematics Physics » Statistical physics
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for this position. Additional desirable skills and experience include one or more of the following: animal disease epidemiology, model fitting/calibration to empirical data, and/or advanced statistical analyses
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(animal models, microscopy, statistics...) (0- 5 points). c) Professional experience in neuroscience research (animal models, animal behavioural tests, encephalic mapping, stereotaxy...) (0- 8 points). (d
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of dissolved substances in heterogeneous, partially-saturated porous media. In order for these models to be predictive, the impact of saturation degree on point velocity statistics and their correlation