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input required to generate high-quality, domain-specific reports (e.g., trade-offs between data sparsity and output fidelity)? How can agentic AI autonomously curate and synthesize literature for dynamic
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data from over 1,000 clinical isolates to build predictive models linking genotypes to tolerance phenotypes and clinical outcomes. You will lead the project and co-supervise a PhD student. We are looking
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are furthermore advantageous. As a postdoctoral researcher, you will also assist PhD students, e.g., with the structural elucidation of proteins. The candidate will join a dynamic multidisciplinary research group
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English linguistics Play an active role in the departmental linguistics team excellent, linguistically oriented degree (MA/PhD) in the field of English linguistics (or, if applicable, comparative
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Postdoc in Biomedical Ethics The Institute for Biomedical Ethics at the University of Basel (IBMB), Switzerland (https://ibmb.unibas.ch/ ), is looking for an enthusiastic collaborator to join our
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project execution and adherence to quality standards PhD in life sciences or a related field Proven experience with in vitro models and assays Strong hands-on experience in cell culture and biochemical
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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depth. PhD degree in Physics, optical engineering, biomedical engineering, electrical engineering, or closely related fields Excellent skills in development of complex optical systems Experience in
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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bioinformatics are furthermore advantageous. As a postdoctoral researcher, you will also assist PhD students, e.g., with the structural elucidation of proteins.