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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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the doctoral thesis being approved. Strong quantitative and computational skills are required for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background
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, bioinformatics, or computational biology. Proficiency in programming and scripting languages (e.g., Python, R, Matlab). Experience with data processing, large-scale genomic and neuroimaging data, and statistical
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developed methodology Quantifying monetizable non-energy benefits of residential building weatherization Create analysis tools in MS excel, python or similar language, as needed, to demonstrate and apply
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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. Certifications: No specific certification is required for this position. Work Experience: No specific work experience is required for this position. Skills: Biomedical Research, Functional Genomics, Python
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of programming languages such as Python is an advantage. Practical lab skills and enjoying experimental work is also a plus. Involvement in teaching (supervising practicals or tutorials) is possible. Your tasks
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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in Python, Machine learning, and Uncertainty Quantification in engineering applications, Preferred: Background in space weather and astrodynamics Excellent written and oral communication skills
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
analysis. · Expertise in nonlinear multi-species models, bioeconomic models, or related quantitative methods for natural resource management. · Proficiency in programming languages such as R, Python