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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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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 1 month ago
, bioinformatics, biotechnology, health sciences or related fields Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills
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RAS signaling and/or targeting is preferred Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential Prior experience
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, minitab, python, R, etc.). • Strong technical writing and documentation (e.g. Lab Notebook) skills. Compensation, Benefits and Position Details Pay Range Minimum: $80,244.00 annual Pay Range Maximum
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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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address their ability and interest in teaching introductory information and data literacy courses in R (DCS 105), an introductory programming courses in Python (e.g. DCS 109D), and other additional upper
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39207 Job Number SE181824 Position Information Department or Unit Name Environmental
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Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating