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- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
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holders may undertake this task). Writing of well-structured, performant, well-documented code. Review of code written by colleagues. Preparation of scientific reports, journal articles and software
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knowledge and demonstrable experience on in life cycle assessment of energy systems, as well as in specific software software (SimaPro, Sphera, OpenLCA, Brightway,…). Specific Requirements Knowledge
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accreditation • Proven experience working with animal models • Extensive expertise in histological and imaging techniques, including confocal microscopy • Proficiency in image analysis software (e.g., ImageJ
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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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the project - Publication of results in scientific journals and presentations at conferences. Compulsory: PhD degree in Chemistry Knowledge of Word, Excel and/or Origin, ChemDraw, other software related
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scientific reports Experience in software projects Experience with libraries and language processing models Immediate availability to start working LanguagesENGLISHLevelExcellent Research FieldEngineering
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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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intelligence, software engineering, data management, distributed systems, or cloud computing Excellent communication and teamwork skills Strong organizational abilities with the capacity to work independently
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or equivalent Research FieldEngineering » OtherEducation LevelPhD or equivalent Skills/Qualifications Skills in acoustics (PhD in acoustics required) and acoustics software. Skills in machine learning and deep
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses