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Field
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
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§ Clinical metadata harmonization across cohorts § Integration of clinical and multi-omic microbiome data. § Experience with Python/R and cloud computing preferred Ideal candidate: A computational
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hydraulic modeling. Experience with one or more scripting languages (Python, R, or similar) to create model inputs and analyze model outputs. Ability to work independently in a research setting, as
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of
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to molecular data. Strong knowledge of quantum, medicinal chemistry principles and chemical representations; familiarity with physics-informed ML and drug discovery is necessary. Proficiency in Python and deep
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preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be Economics majors, though they should have a strong interest in and some experience with
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of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in this role, we are looking for candidates
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and sound judgment in data analysis and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior
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motivated individual with capacity to work independently. Good time management and planning; Good publication track record; Some knowledge of Building Energy Modelling, GIS and programming language (Python, R
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Science, Physics, Applied Mathematics, Electrical Engineering, Data Science, or a related discipline. Demonstrated practical experience in scientific programming (e.g., Python, MATLAB, C++), algorithm development