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to other non-technical audiences on occasion. Profile We are looking for candidates (m/w/d) with the following profile: Master’s degree in computer science, Mathematics, Physics, or similar field (PhD a plus
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, electrical engineering, biomedical engineering, physics or applied mathematics. You should present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
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conferences Profile We are looking for a highly motivated candidate with: A Master's degree in Computational Science/Engineering, Applied Mathematics, Mechanical Engineering, Civil Engineering, or a related
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journals and presentations at international conferences Profile We are looking for a highly motivated candidate with: A Master's degree in Computational Science/Engineering, Applied Mathematics, Mechanical
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applied mathematics. A strong background in programming and machine learning is essential. You are a proactive researcher who thrives in interdisciplinary environments. Desired Skills and Expertise: Strong
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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g
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100%, Zurich, fixed-term The Animal Genomics group at the Institute of Agricultural Sciences at ETH Zurich investigates DNA variation in individual genomes and at the population scale. Our group applies state of the art technologies to sequence the genomes and transcriptomes of farm animals with...
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Required Qualifications: A Master's degree (MSc) in geodesy, hydrology, geosciences, geophysics, computer science, physics, or a closely related discipline A strong foundation in mathematics, physics, data