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microbiological culturing, molecular skills, bioinformatics and statistics. The project is flexible and can be guided by the interests of the student. Please apply for this project using this link: https
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generating microbial expression libraries, DNA assembly, bioinformatics, and handling microbial cultures. Demonstrated ability to work independently and as part of a team. Demonstrated ability to successfully
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/or quantitative biology. We seek individuals with strong interdisciplinary backgrounds spanning biology, bioinformatics, statistics, and computational methods, who are eager to collaborate across EEB
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, Genomics, and Bioinformatics; Physiology and Behavior; Plant Biology. Deadline to Apply 09/01/2025 Our University Community We value the well-being of each of our employees and are dedicated to creating a
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, scientific curiosity, and a collaborative mindset. As a member of the FGCZ Genome Informatics group, the candidate will provide bioinformatics services to support ongoing projects. This includes performing
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, Drug Delivery, AI-driven Drug Discovery Molecularly Targeted Drugs, Biopharmaceuticals (e.g., nucleic acid, cell-based, and protein-based drugs) Bioinformatics, Omics Analysis, Molecular Imaging
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– Friday, 8 a.m. – 5 p.m. Summary The internship will begin with an introduction to bioinformatics, project objectives, and foundational training in data handling and analysis. Interns will also learn
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extracellular vesicles for predicting and monitoring response to immune checkpoint blockade in melanoma and lung cancer. Desired skills: It is expected that a suitable candidate has a background in bioinformatic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
: (1) developing novel advanced statistical methods and bioinformatics/cheminformatics pipelines to process, analyze, annotate and illustrate high-dimensional data, (2) analyzing large complex omics/high
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proteomics bioinformatics. multi-omics integrations. Project 5. Osteosarcoma integrated single cell transcriptomics and spatial genomics (anticipate approximately 15% time on this project) analysis of single