84 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" PhD positions at Nature Careers
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therapeutics. For more details see this review: https://doi.org/10.1016/j.trecan.2022.09.001 Please get in touch if you don’t have access to the review. The candidate will: Perform Oxford Nanopore sequencing
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about career paths at DTU here . Further information Further information may be obtained from John Woodley: jw@kt.dtu.dk . MSCA doctoral network ELEGANCE website: https://elegance.dtu.dk/ . More
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our team on our website: https://cosmology.univie.ac.at . As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly
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of international scientists will guide and support PhD candidates throughout their projects. Structured mentoring and training including summer schools, industry internships, hard and soft skill workshops and
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publications in bioinformatics analysis of large-scale biomedical data, e.g., omics, clinical, structural bioinformatics, other biomedical data, should be outlined in the CV Demonstrated skills and knowledge in
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate