Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
as a student for at least a year You have prior experience in building web applications or know how to do full-stack development (also recreationally or for university classes) You will be available
-
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
-
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
-
Communicate and promote events through social media, our web pages and in collaboration with our communication specialists Collaborate closely with our academic and industry partners, affiliated startups, with
-
researchers’ requirements into practical RDM solutions through development and integration of modern RDM software systems (e.g., plugins, web apps, workflows). You will work closely in a team of SIS experts
-
drive in developing these skills is expected. Since many research tasks involve researching and summarizing media and government websites, policy reports and research papers in German and English (and
-
10%-30%, Zurich, fixed-term We are looking for a student research assistant to help us develop our Digital Twin of Swiss Mobility, who has very good skills in data processing with Python and/or
-
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
-
well as administrative-technical units of ETH in finding, setting up and using the right tools / technologies for their work. Tasks include developing data processing pipelines or scientific web applications, improving
-
at the intersection of data science, neuroscience, and clinical research. Project background This position focuses on spinal cord injury (SCI) and aims to develop data-driven methods to improve clinical trial design