152 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions in Switzerland
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Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive
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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce
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experimental scientists to guide study design and data interpretation Contributing to grant writing and shaping the lab's computational strategy Mentoring and advising PhD students and postdoctoral researchers
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The primary focus of this position is the project-specific analyses of diverse high-throughput multi-omics datasets, encompassing a broad range of data types such as whole-genome and transcriptome
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Chief Physician with professorial rank within the Internal Medicine Service - Department of Medicine
programs funded by competitively awarded grants. Good knowledge of French (native speaker or C1 level preferred) or ability to acquire it quickly. Further information may be obtained from Prof. Peter
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camera systems and give introductions to their use. In addition, they are expected to collaborate closely with the group members in project design, data collection and analysis, and finally be part of
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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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, data flow, and interfacing with digital tools such as LIMS, ELN, and data analysis pipelines Training and technical support for platform users and laboratory staff Documentation of systems, procedures
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exclusively accept applications submitted through this online application portal. Applications via email or postal services will not be considered. Further information about Tethys Robotics can be found on our
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analyze how these factors influence vote choice, and how the role of quality in elections can be strengthened. Empirically, the project combines surveys, survey experiments, and text-as-data methods.