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child development up to adolescence. By combining multidimensional molecular data with integrative computational methods, the professorship's research will contribute to a systems understanding of human
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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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beyond the current state of the art are essential. This PhD position is part of a research project conducted in close collaboration with leading Swiss industry partners, offering a unique opportunity to
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. Profile Education & Experience A PhD in a relevant field with experience in industry is highly preferred; (outstanding younger professionals will also be considered and evaluated based on profile.) 2-5
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collected data Grade student answers and drawings by following a rubric Code session recordings with qualitative methods (using a predefined codebook) Collaborate with the researcher to refine the codebook as
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Center, the ETH AI Center, and large industry partners. Advising PhD and Master’s students will be an integral part of your role. You will also be involved in some of the group’s teaching activities and
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. Conduct statistical analyses of the acquired datasets. Contribute to the publication and presentation of research findings. Assist in the supervision of Ph.D. students. Profile Prerequisites: PhD. degree in
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. ICP projects must be completed within 18 months. Who is eligible? The call supports projects that stem from collaborations involving at least: One Academic partner: an actor formally affiliated with
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with graph-based database software. . Job description Identifying public and commercial data sources relevant to pharmaceutical production, trade, and supply chains. Writing scripts for web scraping and
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responsible for deploying, analyzing, and maintaining the measurements as well as publishing scientific results. They will oversee MS, PhD, and postdoctoral researchers and are expected to apply for external