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independent research to a high level. A working knowledge of R. and/or Python programming is desirable. The candidate will be based in the laboratory space in the School of Pharmacy, UCC, working with Professor
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or equivalent) Strong programming proficiency in Python Experience with deep learning frameworks such as PyTorch and/or TensorFlow Experience using data science libraries (e.g. NumPy, Pandas, SciPy, scikit-learn
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k
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Python programming is desirable. The candidate will be based in the laboratory space in the School of Pharmacy, UCC, working with Professor Abina Crean and Dr. Sonja Vucen. Within our group we strive
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psychiatry/psychology populations and in analysing data accrued from Mental Health Assessment Tools is desirable. Working knowledge of Word, Excel, SPSS, R. and/or Python would be an advantage. They will be
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isotopic data, geochemical software packages and coding e.g. in python, R, Matlab etc. Additional Information Eligibility criteria Mandatory: *PhD in geology, geochemistry or analytical chemistry. *2/3 years
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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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Information Systems are encouraged to apply. Tangible experience in the teaching of programming languages, eg: Python, is an advantage. Candidates should set out how their research may contribute to one or more
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; • Have experience in software development/engineering in at least one general-purpose programming language (e.g., Python, Julia, C/C++, Fortran, Rust). Experience with scientific, numerical, and/or GPU
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the application of machine learning and artificial intelligence. By using neural networks developed in Python, the project aims to generate robust and generalisable models for scaffold design. Industrial