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the position Bioinformatic methods for single-cell metagenomic analysis Single-cell metagenomic sequencing (scMetaG) can provide maximum-resolution insights into complex microbial communities. However
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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of transposable elements (TEs) in this process. TEs occupy 50% of the human genome and are known to be very strong gene regulators. Therefore, to avoid their harmful effects, in adult tissues they are silenced by
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relevant. Our group approaches this question from a novel perspective, by studying the role of transposable elements (TEs) in this process. TEs occupy 50% of the human genome and are known to be very strong
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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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, biochemistry, polymer chemistry, bioinformatics and material sciences. Project Description Small cell lung cancer (SCLC) is characterised by rapid progression and low 5-year survival rates driven mainly by high
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organization in glioblastoma, epigenetics, bioinformatics, and basic cancer biology. We are now looking for an enthusiastic and motivated postdoctoral fellow to join Silvia Remeseiro’s research group to study
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particular attention to how AI systems reshape organizational processes, decision-making practices, and service delivery. The project is situated within Swedish Center for Digital Innovation at the Department
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analysis of metagenomic data in studies, as well as interpretation and presentation of the results. To achieve this, you will need, among other things, expertise in advanced bioinformatic and statistical
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equity perspectives that emphasize the interrelations between multiple inequities to examine inequities in the health system. It takes its point of departure in an intersectional conceptual framework and