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100%, Zurich, fixed-term The Hospenthal Group at the Institute of Molecular Biology & Biophysics (IMBB) at ETH Zurich, Switzerland, investigates the molecular mechanisms that govern natural
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, collaboration, and communication. The candidate will work closely with laboratory members (experimental and computational) and engage in planning projects and experiments, developing computational methods
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motivation, interests, and experience Curriculum Vitae (CV) Academic transcripts of all degrees in English (Bachelor's and Master's) Three professional reference contacts, including an email and a direct phone
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100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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considered in exceptional cases (e.g. child- or familycare, other projects or employment). Profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science
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) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure
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of your MSc thesis Academic transcript of your studies One-page statement on your motivation past research experience and research interests (in English) Contact details of three reference persons (academic
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. Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science (data science, computer science, economics, social sciences, etc.) Experience programming in R
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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histological datasets. Programming skills in languages such as R and/or Python. Experience with colorectal cancer research is an advantage. Ability to work independently and collaboratively in a fast-paced