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Field
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
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the utility and the robustness of different explanation strategies. A large focus of this project will be on leveraging novel and interpretable approaches in applied domains such as algorithmic fairness and
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nerve stimulation The candidate must possess excellent verbal and written communication skills, be strongly motivated, and work well in a team setting. A rough effort distribution for this position is
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characterization of deep-water habitats, GIS spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and
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to scientific publications. Operates, maintains, and troubleshoots standard laboratory equipment. Organizes laboratory stock, maintains inventory, and distributes supplies as needed. May assist in training and
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standard laboratory equipment. Organizes laboratory stock, maintains inventory, and distributes supplies as needed. May assist in training and onboarding new staff and assigning tasks to employees at lower
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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid