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creative work. Refine the research questions and design with the supervision team and prepare ethics, data-management and open-science materials. Complete a doctoral thesis and related research outputs under
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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As a research-intensive university, we’re of one of the UK’s top 30 universities for research quality TheCompleteUniversityGuide.co.uk . We encourage innovation and rising talent, enabling
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, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
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to develop new synthetic methods to make precise modifications to a drug’s skeleton with catalytic control, enabling it to bind its target and thus become an active drug. By innovating prodrug activation
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students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution
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derivatives against the target protein; hUPF1. Design in vitro and in vivo experiments. Make in vitro experiments for the selected ligands (and derivatives) for the UPF1 protein and cellular thermal shift assay
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, scientific conferences and other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8357465-predoctoral
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? As a machine learning researcher, you will initiate and work on innovative data-driven solutions in the bioeconomy and food domains. One example is improving fermentation screening for plant‑based
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 2 months ago
) for Functional Material Design in Summer 2027! We are recruiting doctoral candidates to help shape a resource-efficient future. The candidates will work on individual projects exploring how we can learn from