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Field
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ligases, (2) characterise the molecular features that enable selective substrate recognition, and (3) explore how these processes are corrupted in the context of viral infection and autoimmune disease. We
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isolate and functionally characterize natural product biosynthetic gene clusters via a combination of bioinformatic tools, genetic engineering and chemical analyses. Candidate’s profile: Master’s degree in
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samples for air-borne human and non-human eDNA, and to process sequences for analysis in a forensic context. The expected outcome is the validation of a method in simulated crime scenes. Funding: Doctoral
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derived from paramagnetic ions, as well as the modelling of molecular diffusion processes through membranes, by means of molecular dynamics studies. Different parameters that will affect the relaxivity
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improving techniques to collect, process and store genetic material (sperm, embryos, egg cells, and ovarian tissue) from a wide range of farm animal species – from cattle and chicken to sheep, bees and
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to training courses, seminars, and mentoring opportunities. You will also work closely with Dr Ellen McDonagh's team at Open Targets / European Bioinformatics Institute. You should have strong organisational
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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Duke University Department of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing
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relevant to the chosen position (including biology, medicine, biochemistry, bioinformatics or a related discipline, depending on each PhD project) or its equivalent that would entitle them to a doctorate one