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Field
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proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic modelling techniques experience with energy modelling tools (knowledge of Plexos is
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) in FPGA design, machine learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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and leadership Demonstrated advanced programming skills in Python and R (including frameworks such as PyTorch and TensorFlow). Experience using/applying advanced AI techniques including large language
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experience working both independently and collaboratively in interdisciplinary teams. Your excellent communication skills and programming proficiency (e.g., Python, MATLAB, R) support your ability to lead or
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methods. Strong experience with scientific computing and data analysis, ideally using python or an equivalent language. A strong record of producing peer reviewed research-based publications in areas
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS
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scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a diverse research team
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record of publications in leading international scientific journals (Q1) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong