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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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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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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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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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the equivalent of a doctorate in statistics, bioinformatics, mathematical statistics or equal subject is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than
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needed. Merits Experience in molecular cloning, nucleic acid analysis, good understanding of DNA processing enzymes and scRNA-Seq protocols. Other Further, the project will be implemented in collaboration
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between