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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 16 days ago
disease• Profound knowledge in the bioinformatic analysis of Omics datasets (RNA-seq, ChIP-seq) with a focus on state-of-the-art single-cell technologies• Experience with national or international
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Applicants should hold (or be close to completing) a PhD in biology, bioinformatics, genomics, or molecular physiology. We particularly welcome candidates with: Expertise in experimental genomics, cell biology
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to host health and fitness outcomes. The Postdoctoral Researchers will be involved in field work, wet lab work, bioinformatics, and other project management roles related to this work. They will also have
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to host health and fitness outcomes. The Postdoctoral Researchers will be involved in field work, wet lab work, bioinformatics, and other project management roles related to this work. They will also have
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, cells, serum and plasma. Biomarkers research and Bioinformatic analysis Where to apply E-mail vpozo@fjd.es Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Skills
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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction
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of bioinformatic pipelines for genome and transcriptome sequencing analyses. Demonstrated skills and experience analyzing Next Generation Sequencing data. How to apply: Candidates should apply directly to Dr
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to travel to field sites across England for sample collection. Desirable Criteria: Understanding of agricultural research or collaboration with industry partners. Familiarity with bioinformatics tools
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strong command of basic molecular and cellular biology techniques (PCR, immunohistochemistry) are expected. An affinity for bioinformatics analyses is a plus. Experience in imaging (confocal) and/or
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 23 days ago
biology. The team is growing and offers a highly interdisciplinary environment that brings together researchers in structural bioinformatics, computational chemistry, biophysics, and machine learning. We