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–4,000 genes per nucleus. All experimental steps, including sequencing, alignment to the X. laevis v10.1 genome, and quality control, will be carried out by the Curie Institute platform (responsible
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-throughput sequencing and advanced bioinformatics; (iii) Discovery, characterization and evaluation of indigenous bacterial biocontrol organisms capable of suppressing rice grain rot.The successful candidate
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 9 days ago
generously funded and successful candidates will receive competitive payment based on the primary location of their research project. We seek to recruit multiple PhD students (f/m/d) in 2027 to a range of
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parasites is not required. The candidate will receive a comprehensive training in molecular and structural biology, ranging from genome editing to advanced microscopy and next-generation sequencing
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that can influence this efficiency. This project aligns with the priority of sustainable development and the University of Newcastle’s strategic plan to further support next generation resources and growing
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
data into a quaternary alphabet (A, C, G, T). (ii) DNA synthesis: writing data through the physical synthesis of DNA strands. (iii) DNA sequencing: reading the stored data by sequencing DNA. (iv) Data
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. A key additional aspect is the use of functional structure within the proteome-such as protein-protein interaction patterns, structural similarity, and data-driven embeddings derived from sequence
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colleagues will be responsible for turning existing sequence data into a comparative picture of how cell-type-specific responses to host plants have evolved. The work is largely computational and self-directed
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possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with
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-models, thereby avoiding double counting of effects, • developing and evaluating temporal machine-learning models for sequence-to-sequence prediction of fuel behaviour, • extending surrogate models