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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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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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work, as well as record and report results with clarity and details. Proactive and motivated to learn and master new methods and techniques. Able to work independently and within a team. We offer
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be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science, machine learning
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architecture development: novel pretraining objectives, tokenization, and scalable architectures for biological data. Multimodal learning: representation learning across diverse biological data modalities