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Field
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extension depending on funding availability and job performance. Primary duties and responsibilities: Develops and improves a coupled physical-biogeochemical model for Indian River Lagoon Performs numerical
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for research expenses including publication charges, related conference travel, workshops, and computing resources will be available. Further information about the BHI may be found at http
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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agencies, investors, pharma companies etc. This role may also provide the opportunity to join a spin-out company as part of the founding team. Learn more about the innovative work here: https
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
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Python, C++, or Julia, with strong signal processing, numerical modeling, and data analysis skills; experience with Git-based workflows and AI/ML for science is a plus. Hands-on experience in structural
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++, or Julia, with strong numerical modeling, data analysis, and reproducible code development skills; experience with Git-based workflows and AI or ML for science is a plus. Experience designing and executing
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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code
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position is available for the research on theoretical and numerical methods related to any of the following: open quantum systems, quantum information processing and quantum machine learning, nonlinear