10 parallel-computing-numerical-methods PhD positions at Utrecht University in Netherlands
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The translation of mRNAs by ribosomes is a key step in decoding
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. You will build on our recently developed single-cell ribosome profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will generate a genome-wide
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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well as willingness to participate in large collaborations. Theoretical and numerical skills will be prioritised. Evidence of experience in scientific writing and outreach are a plus. Our offer A stimulating scientific
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develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture
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knowledge flows between researchers, companies, and regulators, and develop practical tools and strategies to accelerate the shift toward animal-free methods. Your work will combine advanced quantitative and
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emulsion, coat it with a nanoscale separator, and fill it with cathode material. The goal is a scalable, robust fabrication method that could revolutionise battery technology and support sustainability. Your
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supporting the clinical programme in all activities related to the in vitro production and preservation of equine embryos (ovum pick-up, oocyte maturation, intracytoplasmic sperm injection, IVF, embryo culture
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formation via modifications to sedimentary redox reactions and sediment stabilisation, providing microenvironments favorable for organic matter preservation. A personalised training programme will be set up