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to engage with diverse audiences, including individuals with lived experiences of depression, through public engagement and public outreach initiatives. As a valued member of our team within the Statistical
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with R, Python, Netlogo), statistical analysis/econometrics, and epidemiology modeling. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health
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data from relevant cohort studies using cutting edge statistical techniques of causal inference. Appointment Details: Application Process: A full job description and person specification can be accessed
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such as Geography, Computer Science, Planning, Statistics, Mathematics, Physical Sciences, Social Sciences are likely to be relevant. Or other relevant or equivalent qualifications. They will also have
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Assistant. About you You will have a PhD or MSc with experience in a relevant discipline (e.g. statistics, epidemiology, public health). You will have advanced quantitative and statistical software skills
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member of our team within the Statistical Genetics Unit at the Social, Genetic & Developmental Psychiatry Centre, you will be part of a collaborative research environment led by distinguished experts, Dr
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complex research protocols to address research questions Make significant important contributions to the group's research, analyze data and prepare graphs/ charts, including statistics. Contributes
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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the water system. The Role We are seeking an experienced and highly motivated Research Fellow with a strong data and statistics background to support LPIP/FORTH2O in building a world-leading data and digital
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passionate about using your skills in statistical modelling to make a difference to complex problems such as emergence of new diseases, then we would love to hear from you. You should have good knowledge