179 web-programmer-developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at ETH Zurich
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modern, visually appealing web layouts and UI components Produce data visualizations (static, animated, or interactive) using tools like d3.js Collaborate with developers to ensure designs translate
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The Institute of Molecular Systems Biology at ETH Zurich is inviting applications for a Full Stack Web Developer for Life Science Research in the laboratory of Prof. Pedro Beltrao . The Beltrao
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in this direction, it is currently looking for a skilled student Research Assistant (RA) to lead the technical development of a web-based platform for educational research. Project background
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one or more of the following areas: User interface or interaction design Web-based prototyping Qualitative or quantitative research methods Excellent organizational and communication skills are required
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, you process collected data, prepare reports, and deliver results back to customers and internal teams - ensuring that every project is both professionally executed and well-documented. Further, you will
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of Competence in Research (NCCR) Separations. Job description Within a broader research program that integrates process modelling, computational materials screening and discovery, experimental synthesis, and
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80%-100%, Zurich, fixed-term The Professorship of Architecture and Human Augmentation and the Design++ at ETH Zürich are seeking a highly skilled Software Engineer to contribute to the core
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student (hosted at SLF Davos and the University of Zurich) and a dedicated software engineer (based at SLF Davos). The PhD will be supervised by Dr. Michele Volpi and Prof. Johan Gaume at ETH Zurich’s
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metadata and documentation to support data discovery and use Begin developing a web-based platform to provide users an overview of the available data Coordinate with researchers in climate science
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industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort