30 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Adelphi University" positions at EPFL
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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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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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Polytechnique Fédérale de Lausanne (EPFL) invites applications for a full-time Bernoulli instructorship in algebra. Profile Bernoulli Instructors are expected to teach algebra courses at all levels, notably
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at EPFL is seeking for talented and ambitious postdoctoral scientists with strong fabrication skills (or a big interest to acquire such skills) to work in the young and dynamic field of Integrated lithium
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architectures that integrate diverse biological data modalities. Multimodal representation learning: aligning and fusing information across modalities to capture biological systems at multiple scales. Agentic
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leading experts in the fields and motivated young researchers. Main duties and responsibilities Bernoulli Instructors are expected to teach Mathematics courses at all levels in French or English. The
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practical web development. Some technologies may be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Full-stack: able to own backend, data layer
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on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited