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programming ability in Python, and practical experience with a modern deep learning framework such as PyTorch. Experience working with 3D data in some form: volumetric images, meshes, point clouds, or geometric
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bioinformatics and/or biostatistical analysis applied to biological data. Experience in programming and handling programming languages applied to biological data analysis (e.g., R, Python). Competencies: Ability
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of application. Strong mathematical skills and significant programming experience (e.g. Fortran, Matlab, Python, Linux). Significant experience in numerical modeling and familiar with at least one of
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programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 14 hours ago
, commensurate with career stage. Strong mathematical and algorithmic capability, with demonstrated experience applying machine learning to research problems Strong programming skills in Python and/or MATLAB
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experiences in GNSS data processing Strong computation skills with experience using MATLAB and/or Python Excellent written and verbal communications skills Evidence of being able to work both independently and
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metabarcoding, metagenomics, isolation and culture. Prior analysis of high-throughput sequencing data and experience with R and Python required. Application materials needed: 1. CV 2. A one-page cover letter that
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. · Acquires Specialized Training. Attends trainings and skill development workshops as necessary
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong