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. Obligatory qualifications are: - PhD in Earth Sciences, Geography or Biology - Experience in field work and writing publications on macroplastic in fluvial environment - Computer proficiency, including MS
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&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of
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research, teaching, and leadership skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and techniques as the projects evolve
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Central China Normal University, Physics Position ID: CCNU-Physics-PDLQCD2025 [#29851] Position Title: Position Location: Wuhan, Hubei 430079, China [map ] Subject Areas: Machine Learning / Machine
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to collaborate and learn from experts researching, developing, and testing emerging technologies in marine energy and/or blue economy. You will conduct research at both your academic institution and at an external
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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periods of time, repetitive motion related to computer work. Shift Monday-Friday 8:00am-5:00pm, weekends or evenings may be required by project work. This position is eligible for complete remote work. Job
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appointment) in a relevant field, such as geodynamics, seismology, geophysics, or computational science. Ability to sit for extended periods (e.g., 6–8 hours/day). Visual acuity to read computer screens and