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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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Python/R and Linux/UNIX, or expertise in structural variant analysis with motivation to upskill computationally. Experience in cancer genomics/epigenomics and high-throughput sequencing. Proven track
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popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent communication skills, enabling them to engage with the entire
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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other related field. Program proficiency in computer programs such as Abaqus, SolidWorks, MatLab, Mathematica, and Python. Knowledge of fibers, yarn and textiles, and textile fabrication processes. Strong
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behavioral research with human participants. Desired Qualifications: Preferred (but not required): experience with cochlear implant users; skills in REDCap, MATLAB, R, Python, or other experimental platforms
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. We are a highly collaborative group with an international reputation. What we are looking for Experience working with sequence data, programming in python or similar language (e.g. R), and a strong
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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language processing (NLP), and fine-tuning techniques Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience