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: • Bioinformatic analyses of single cell RNAsequencing data. Please apply online and submit curriculum vitae, cover letter, and the names of 3 references via AP Recruit at https://aprecruit.ucsf.edu/JPF05742
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-resolution quantitative imaging, high-throughput “omic” technologies, quantitative genetics, bioinformatics, and computational modeling. Successful candidates will be appointed to the Department of Cell and
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Computer Science, Data Science, Computer Engineering, Biomedical Engineering, Bioinformatics or related fields. Expertise in Python programming Proficiency in Linux, Bash, SQL, Git Proficiency with high-performance
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. The candidate should have experience in tissue culture, cell biology and data analysis and a keen interest in vascular research. Experience in spatial or single-cell transcriptomics and bioinformatics or high
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diseases. Required Qualifications: (as evidenced by an attached resume) ● Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a
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, occupational health and environmental health, toxicology, radiological medicine, public health laboratory science, social medicine and health service management, vaccinology, bioinformatics, biostatistics
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, such as astronomy/radio astronomy, bioinformatics, genomics, geosciences, control systems and their interfaces, or other related domains. Desirable : Experience and familiarity with formal software
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facilities including Biomedical Imaging, Bioinformatics, Biological Mass Spectrometry, Biomedical Research Computing, Cryo-EM imaging, Genome Sequencing, Microscopy/Flow Cytometry and Mouse Genetic Engineering
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Schedule: See Job Posting 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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addresses of three referees (if available) Online applications should be addressed to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node. Early