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Field
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be related to the characterization and circular performance assessment of building envelopes in Europe, with a scope ranging from construction details and building archetypes to large-scale inference
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, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization, evolutionary game theory, infectious disease modeling, and assistive and accessibility technologies, with a
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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research. The ideal candidate will have experience in all of the following areas: -large scale population genomics, demographic inference, and evolutionary genomics -graph-based pangenomics and structural
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epigenomic data analysis or gene regulatory network inference Ability to work independently and collaboratively in a multidisciplinary environment Excellent written and spoken English skills What we offer
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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. PREFERRED QUALIFICATIONS Expertise in nutritional epidemiology and diet-related chronic disease research. Experience with causal inference methods, longitudinal data analysis, and advanced epidemiologic
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an advantage: Rodent social behaviour, empathy-related behaviour, aggression, fear, or reinforcement learning tasks. Computational modelling, Bayesian statistics, reinforcement learning models, or model-based
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
to have experience in several of the following areas: data processing, statistical analyses, R software, regression models, process-based models such as DSSAT or APSIM, Bayesian statistical analysis
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
the Biophysical Metrology and Inference program at NIST, which develops interpretable measurement approaches, physical models, and data-analysis methods to connect biological signals to quantitative mechanism and