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experience with building web applications, form builders, and automation tools (e.g. AEM, Make.com, Google Developer Console, Typeform, Inxmail, Mailchimp, Zapier, Wix Velo) Proficiency in JavaScript and
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under GNU-GPL. Job description As a student assistant, you will support our team in developing and improving educational software. Your responsibilities will include helping implement new features using
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processing. Experience with proteomics software tools like DIA-NN, Spectronaut, FragPipe, etc.. Ability to efficiently communicate across disciplines, including with students and collaborators. Experience with
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the ETH Zurich postdoctoral candidate website for information. As a postdoc at ETH Zurich, you would be a paid employee of the university. You will receive benefits including social security
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priorities; track progress throughout the implementation process Software development – implement and test of new features Platform analytics – analyze user behavior on a regular basis The position is located
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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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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