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- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
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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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, 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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of data such as from Kepler, K2, and TESS Experience with scientific software development, testing and documentation (python-oriented development environments, github, writing of manuals) Experience with
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. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
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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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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
to environmental studies, with experience in the research topic, preferably with an international scope. Data analysis and modelling, handling of statistical software (R software, Python or equivalent). Proved
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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
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studying transcription factors and chromatin (ATAC-seq, RNA-seq) and/or programming skills in languages commonly used in bioinformatics (Python or R, etc) are highly encouraged. Previous postdoctoral