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found on our website: https://dhlab.philhist.unibas.ch/en/ . If you have any questions, please contact Prof. Lavelle-Hill (rosa.lavelle-hill@unibas.ch ) or the DHLab administration team (Sekretariat-dhlab
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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer
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, assumption management, and end-to-end traceability from specification fragments to generated SVAs and solver outcomes. You will also help define benchmarks and evaluation protocols (correctness, robustness
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per week) Participate in academic self-governance Completed relevant university degree (Master's or equivalent) and a completed PhD in sport science, psychology, or a related field Experience in data
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space. In the frame of an industrial project, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray
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strains Co-representation and reporting of BPL results in consortium meetings Co-coordination of tasks with all consortium partners Profile PhD in molecular biology, microbiology or industrial biotechnology
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Embedded in the new ETH Einstein School of Public Policy, the postdoc also has the opportunity to create policy-relevant insights for decision-makers on how to manage political risks and opportunities
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to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative image‑based database to manage and
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation