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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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-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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month 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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flexibility as well as a strong motivation to address this challenge using multiple lines of evidence. Tasks and responsibilities: Co-designing and conducting field sampling and measurements, lab experiments
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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
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. Experience working with geospatial data and spatial analysis, or the ability to learn. Experience analysing whole genome libraries, including quality control, sequence alignment, and calculating population
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 18 days ago
research project investigating the role of RNA–protein interactions in cellular stress responses Establish and develop next-generation sequencing and mass spectrometry-based proteomic approaches and analyse
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-groups/wang-group/ In the Wang Group, we develop and apply interdisciplinary technologies that bridge high-resolution spatial biology and genome-wide discovery. By integrating multi-omic sequencing and
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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for “what-if” scenario analysis derived by Integrated Assessment Models (IAM). You will develop different pathways based on multiple realisations of CMIP6 and/or CMIP7 datasets, aligned with IPCC scenarios