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have a strong background in quantitative methods and are excited to code. You are interested in topics of global poverty and inequality. You have a good knowledge of the statistical software R and/or
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and
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computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
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training, hardware and software maintenance, instrument operator service, advice on sample preparation, assay design data analysis, and data management. As a member of the SCF, you will perform flow
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Sciences PhD Position in AI & Software Engineering for Digital Health (Fully Funded, ETH Zurich) 100%, Zurich, fixed-term 12.08.2025 | ADAMMA group, Center for Digital Health