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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more efficient and reliable
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- dimensional data. Strong programming skills (e.g., in Python or R) for handling large datasets and implementing models. A genuine curiosity about how knowledge is produced, shared, and applied across different
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and RF electronics. Proven track record in writing international peer-reviewed scientific publications Moderate to advanced programming skills, ideally in Python Mastery of the English language, both
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to the proposed area of research. You should have experience in finite element modelling and data-driven multiphysics approaches. Fluency in Python, Fortran, MATLAB and/or C/C++ and prior work with common finite
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the selection committee, through posting on the bulletin board and the institution’s website Additional comments Topics: Qualitative and quantitative research skills; Data processing in R or Python
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the selection committee, through posting on the bulletin board and the institution’s website. Additional comments Topics: Qualitative and quantitative research skills; Data processing in R or Python
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environment; Python programming Preferred Qualifications Experience with unstructured grid ocean modeling system such as SCHISM. Experience of using programming language Python to deal with large 3D ocean data
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sheet modelling demonstrated through a record of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing