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Information Eligibility criteria The applicant should have a PhD degree (or equivalent) in Computer Science or Mathematics and good knowledge in symmetric key cryptology. Good programming skills are required
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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help in our review. You may upload them on the application under the CV/Resume section. Qualifications: Required Education and Experience Appropriate PhD in Information Science or in a related field. Not
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digital media, you will lead core research on reading and writing development using longitudinal school testing, experimental paradigms, and statistical modeling. You Will Have: A PhD (or near completion
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Education Required: A PhD degree in biomedical informatics or computer science. Required Qualifications: Prefer research experience in natural language processing. No working experience is required
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ferroelectric memory, photonic integrated circuits and next-generation telecommunications. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating in
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18 Sep 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Electrical engineering Engineering » Other Researcher Profile Recognised Researcher
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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. A special emphasis will be placed on developing theory that goes beyond the steady-state behavior of dynamical systems. You will also have the opportunity to collaborate with PhD students working