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Field
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 26 days ago
Regulation, it is hereby made public that the opening of a call for a Research Fellowship (Postdoc) in the field of bioinformatics, genetics or similar areas, with an interest in biology and proven experience
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and inhibitors · Immunohistochemistry, immunocytochemistry and confocal microscopy of membrane proteins · Transcriptomics, proteomics, and bioinformatic analysis of omics data · Mass
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, or organoid co-culture systems Computational/bioinformatics skills (e.g., R, Python, machine learning, or similar) are a strong plus. Salary and benefits Salary will follow the University of Pennsylvania FY26
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and maintains genetic mouse lines. Perform aspects related to cellular and molecular biology research that include, but are not limited to: bulk RNA-sequencing, scRNA-sequencing, bioinformatics, qRT-PCR
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. The project forms part of the multi-disciplinary SoilSystems Priority Program, involving 16 collaborating research institutions across Germany. Your tasks: Bioinformatic analysis of long- and short-read
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, ELISA, purification and culture of primary human cells, and single cell sequencing. Bioinformatics and computational skills are highly desirable, with a focus on experience with single cell and spatial
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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.). Collaboration with observational study coordination teams. Management and interpretation of experimental data using statistical and bioinformatics tools. Interdisciplinary collaboration with clinical, genetic