248 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Adelphi-University" positions in Switzerland
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move beyond conventional stimuli-responsive materials, which merely switch between predetermined states, toward life-like materials that genuinely learn: Forming memories, consolidating them over time
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Position Description The School of Basic Sciences at EPFL invites applications for a faculty position in Mathematics of Learning. The appointment will be at the Tenure Track level, with an expected
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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combines flexible, location'independent part'time distance learning with an active, interdisciplinary research culture on its campus in Brig. Across five faculties ' Law, Psychology, Business & Economics
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. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational
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for applicants with a strong profile in fields such as combinatorics, graph theory, convex geometry and algorithms. Instructors are expected to teach courses in discrete/algorithmic mathematics. In addition
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research independence. We are looking in particular for applicants with a strong profile in fields such as combinatorics, graph theory, convex geometry and algorithms. Instructors are expected to teach
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control and machine learning, implement experimental validation with lab researchers, conduct systematic robotic evaluation and design new hardware (sensor choice and integration, robotic construction from
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quantification, from classical optimisation and Bayesian inference to physics-informed neural networks (PINNs) and other machine-learning approaches build and extend our simulation environment, with a focus on
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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density