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) with postdoctoral experience. Ability to develop applied research in digital pharmacy. Interest and knowledge in pharmaceutical data from hospitals, community pharmacies, administrative data, or patient
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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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. Profile Enrollment as a student at ETH Zurich or the University of Zurich in a relevant field, such as computer science, engineering, economics and mathematics Intermediate coding skills in R, Stata
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interested in current political and societal discussions Be able to work independently, manage multiple tasks and deadlines Be a team player with strong communication skills Have experience with coding (e.g
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, two MRI systems, two CT scan machines, wet labs, and characterization systems, among other equipment. You will be conducting your postdoctoral research where the fields of electronics, signal processing
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on such hardware. Several technologies are considered for running on GPUs, compiler directives which are inserted in the code, or for some parts a complete re-write using a Python domain specific language (DSL
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, exoskeletons, instrumented treadmills, two MRI systems, two CT scan machines, wet labs, and characterization systems, among other equipment. You will be conducting your postdoctoral research where the fields
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100%, Zurich, fixed-term We seek to fill one postdoctoral position as part of a project funded by the Swiss National Science Foundation and the Vontobel Foundation that focuses on online exhaled
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biotech industry. Project background We seek a highly motivated postdoctoral researcher to develop and apply advanced image analysis techniques. The focus of this position is on integrating both classical
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learning technologies. You will actively participate in code reviews and maintain comprehensive documentation to ensure code quality and reproducibility. Additionally, you may be expected to contribute