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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis. - Research experience involving neuroscience
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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responsibilities include i) lead developer of the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor
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(Python, C) and computer-aided omics approaches (transcriptomics, RNA imaging), as well as pathway modeling, are highly desirable. Specific Requirements Microscopy (live and fixed tissues); computer-aided
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. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM). A pragmatic scientist who combines technical depth with a clear translational, goal‑oriented
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such as XML and JSON. Experience with application programming interfaces such as SOAP and REST. Experience with core web technologies such as HTTP, HTML, and JavaScript. Experience with modern software
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Professional (Temporary) Posting Number req25527 Department School of Plant Sciences-Res Department Website Link https://spls.arizona.edu/ Location Tucson Campus Address Marley Building, 1145 E. 4th St., Tucson
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expertise in NGS data analysis (WES, RNA-seq). - Experience with R and/or Python for statistical and bioinformatic analyses. - Experience in integrative multi-omics analysis. - Knowledge of biostatistics and
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- Experiencia en desarrollo y programación de red con lenguajes de alto nivel tales como Python, JavaScrit/Note, PHP. - Experiencia en bases de datos relaciónales como MySQL y no relacionales como MongoDB. Se