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’, multidimensional datasets. These data are part of a research project aiming to decipher the molecular basis of the sexual dimorphism establishment in schistosomes. In particular, the PDRA will focus
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and external user facility, and processing the data therefore resulted. Please direct enquiries about the role to Yulin Chen yulin.chen@physics.ox.ac.uk Only applications received before midday, 6 June
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experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
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protocols as well as contribute ideas for new research projects. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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data independently. The post holder must also have a strong statistical background, with at least one recent publication in an internationally reputable journal. Application Process You will be required
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understand the links between maturational accounts of acquisition and the stability of morphosyntactic properties diachronically, with particular reference to French. Acquisitional data will be extracted from
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the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
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in vivo experiment documentation, sample inventories, and reagent information. You will also be responsible for ensuring that work in the laboratory is conducted safely and that work is undertaken
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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential