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Field
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short-read RNA-sequencing data or Using a foundation model to develop a perturbation prediction model for aging Foundation models will be developed using different species, perturbations may be chemical
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– Integrative Genomics Core Unit (NIG), we are seeking a highly motivated scientific staff member with expertise in the bioinformatic analysis of next-generation sequencing (NGS) data. Your tasks development
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(or equivalent) certification Hands-on experience in vaccine research Expertise in T-cell immunology or next-generation sequencing Familiarity with RNA virus biology and bioinformatics pipelines Experience in
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-dimensional next generation sequencing datasets (e.g. single-cell RNA-seq, CITE-seq, bulk RNA-seq, single-cell TCR-seq, ATAC-seq), and potentially flow cytometry datasets from immune cells. The datasets
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for life scientists each year in multiple countries, both as residential courses and online. An overview of our courses can be found here: https://www.embolableadership.org . Our diverse international
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single cell sequencing analyses of mouse and human bone marrow cells at leukemia onset, throughout the course of treatment and upon relapse. Ideally, the candidate brings in strong expertise in cell
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on collective motion in chiral active matter and pattern formation in self-propelled particle systems with self-alignment and chemical reactions. The successful applicant is expected to have an excellent
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strongly supported by core facilities that offer cutting-edge imaging and sequencing technologies. There will be career-building opportunities such as contributing to grant writing, participating in peer
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possible date at the KlausTschira Institute for Integrative Computational Cardiology to join our interdisciplinary project at the forefront of RNA biology and sequencing technology. Project Overview
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
on bacterial and archaeal communities at the bottom of the CCZ. A unique dataset with DNA/RNA sequences (including metabarcodes, metagenomes and metatranscriptomes from sediment, bottom seawater and polymetallic