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modeling techniques. This ERC project aims to bridge this gap by leveraging the flexibility and power of statistical models to accurately represent intervention effects or facets of the causal data
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deficits, such as those caused by glaucoma. You will make use of experimental and theoretical techniques, such as sensorimotor analysis and Bayesian statistical modeling, to create diagnostic and screening
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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combination of mechanism-based mathematical models to describe drug concentrations and effects, and statistical models such as nonlinear mixed effect models to quantify and predict variability between patients
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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Kristoffer Negendahl. We offer an opportunity to develop expertise in various domains, such as advanced building physics simulation techniques, machine learning approaches and statistical modeling
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such as Python, R, C++, or Java and intermediate skills in a statistical modeling or analysis environment like R or Python scipy/scikit learn Prior experience with Unix and bash scripting, previous
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statistical models and artificial intelligence (AI) algorithms including generative AI. The platform will allow policymakers, carers, and healthcare staff to get tailored psychosocial care plan for individuals
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demonstrates good aptitudes in machine learning, statistical modelling, or data analysis (as evidenced through strong academic credentials or research papers in reputable journals/conferences) may be accorded
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, MASLD, and disease phenotypes (Obesity, Type-2-diabetes) collected in European population studies. You will apply multivariate statistical models and AI-assisted knowledge graphs to guide