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- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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, transcriptomics, proteomics), machine learning, statistical analysis and programming languages such as R or Python. - Experience in image analysis, including development of custom ImageJ plugins and workflows
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Computational Color Research, Image Processing, Computer Vision. Knowledge of latest generative architectures Good programming skills using Python Other merits Experience superior to that required in similar
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epidemiology and managing large databases and statistical analysis with R, Python or similar. Project management (drafting, application, execution). Fluency in English. Specific Requirements Mobility and
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and chemical evolution modelling Experience in galactic dynamics and analysis of numerical simulations Experience in programming in R, Python and/or SQL Experience in development of data analysis
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/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare
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, Python, Stata, or others). • Development and quantification of spatial models. Category: postdoctoral researcher, level 2 Working hours: 37.5 hours per week Contract period: it is expected
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/ Nice to have You have experience with advanced bioinformatic tools (e.g. Python/R, omics data analysis) Education and training A Ph.D. in a relevant field of study and/or candidates with no more than one
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and astrocytes, and in vivo work (mouse models). Programming experience (e.g., R, Python, MATLAB) and familiarity with relevant bioinformatics pipelines. Experience with sample processing
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communication skills in English. The following skills will be highly valued: Proficiency in plane wave DFT codes like VASP and Quantum Espresso. Programming experience in Python. Additional Information Benefits