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if the candidate has experiences in transcriptional or epigenetic analyses, analyses of high-throughput sequencing data, or experience with other forms of bioinformatical analyses. It is expected that the candidate
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and advanced level. We are a part of the Soil, Water and Environment Center at SLU (MVM-center), which provides links to research on water systems, recycling and bioenergy. Our work is aligned
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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transcriptomics (Visium HD, Xenium), single-cell RNA sequencing, and computational modeling, the student will map tumor cell states, lineage hierarchies, and differentiation trajectories. Insights from
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medical applications. Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian
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fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
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relating this knowledge to plant health and sustainable plant protection is required. Previous experience in sampling, sequencing and analysing plant microbiomes, including bioinformatics and statistics as
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, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I
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Urinboyev who will also serve as your principal supervisor. You will be given sufficient time, guidance, and resources to develop your individual research project, aligned with the overall SOCIAL project's
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by Rustamjon Urinboyev who will also serve as your principal supervisor. You will be given sufficient time, guidance, and resources to develop your individual research project, aligned with the overall