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— we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness
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at appointment. See the following table for the salary scale for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf . A reasonable estimate for this
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contact: Dr. Maria Heuss, Assistant Professor, m.c.heuss@uva.nl . Please quote “PhD Position” in the subject for requesting information Where to apply Website https://www.academictransfer.com/en/jobs
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translational medicine concepts Publication history in relevant fields (AI/ML, genetics, toxicology) Experience with deep learning frameworks and generative AI models (e.g., GANs, VAEs) Key Leadership
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redesign. Required Qualifications: • PhD in Statistics, Mathematics, or Data Science awarded by August 2026 • Ability to teach a wide variety of mathematics and statistics courses within the current
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, neurodivergence, or a chronic condition, please contact us so we can make all necessary accommodations. Learn more about our DEI work here: https://group.springernature.com/gp/group/taking-responsibility/diversity
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the
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experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep