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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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Review, update, and consolidate methodologies, including Bayesian methodologies, in the context of material balance evaluation Your Profile: PhD in applied mathematics, computer science, physics, or in
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Correct), Bayesian statistics, systems theory and artificial intelligence are to be used as a basis in order to explore and implement a continuous calculation chain starting from observable and controllable
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inequalities, and [4] developing new methods, in particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also open to applicants interested in
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also open to applicants interested in other topics covered in the Department Social
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
comparisons of health and health inequalities, and [4] developing new methods, in particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also
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required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical