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Field
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interdisciplinary project, combining molecular biology, immunology, genetics, and advanced bioinformatics, working between the Bateson Centre for Disease Mechanisms, School of Biosciences and the Medical School
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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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: Excellent study or research performance You possess high scientific integrity Master’s degree (or equivalent) in immunology, biology, biomedicine, microbiology, bioinformatics or similar Knowledge in
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 months ago
.Eligibility requirements: The candidate must hold a PhD in Molecular Biology, Microbiology or related areas; Demonstrated experience in nanopore sequencing (from DNA extraction to bioinformatic analysis
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such as ChIP-Seq, ATAC-Seq, RNA-Seq, Cut&Tag or Cut&Run; Background in proteomics is desirable; Experience in bioinformatics and analysis of NGS or single-cell data; Animal experimentation license is
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pharmaceutical chemistry, and bioinformatics. Clinical Sciences Research in the clinical sciences section aims at translating target molecule identification into new diagnostic and therapeutic venues to provide
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environment with handling of biological material in cell biology and microbiological laboratories. The use of sensitive techniques such as flow-cytometry, confocal microscopy, proteomics and bioinformatics is
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biology, biophysics and molecular medicine. Machine learning and bioinformatics play an increasingly important role in this endeavor. The institute is part of a strong network of research institutions in
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Prof. Thomas Sauter at Your profile A master's degree in Systems Biology, Computational Biology, Bioinformatics, or related discipline Experience in omics data analysis, in particular in epigenomic and
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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with