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The Professorship of International Relations and Data Science is currently seeking a postdoctoral researcher for a two-year position (100%). The position is based at ETH Zurich and is supervised by
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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics
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have a Bachelor’s or Master’s degree (any field of study is welcome - computer science is not a must-have) or can demonstrate equivalent knowledge and experience You are passionate about analyzing
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. Support the regulatory submission process together with internal resources and consultants. Profile Education & Experience: Bachelor’s or Master’s degree in Engineering, Operations, Quality, or a related
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in teaching. Profile Doctoral degree in biology, computational biology, applied mathematics, physics or equivalent Proven track record in infectious disease modelling, quantitative biology or related
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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hyperspectral data. Present research results to academic audiences, collaborators, and stakeholders. Profile PhD in Geomatics or a related field (e.g., Environmental Sciences, Civil Engineering), with