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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python/PyTorch skills, experience with
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project, you will prepare tabular and time series datasets, implement Python-based forecasting and regression experiments, test AI-assisted workflow components, and prepare technical outputs for project
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analysis and AI agent development; (c) knowledge of Python, PHP, C++, C#, JavaScript, RDBMS or large language models; and (d) good communication skills. Preference will be given to those with
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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priorities, and a genuine interest in supporting scientific research within a team environment. Knowledge of R or Python, experience of high-throughput proteomics and sample-handling automation, or experience
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assist Dr. Wael Jabr for 15 hours per week during the academic semester. Job Duties: Work on solving problems using languages such as Python and SQL. Specifically, the work involves using MySQL as
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from problem definition through to validated implementation. Develop solutions using machine learning, deep learning and computer vision, and independently implement key components in Python. Develop
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quantitative data analysis. Strong programming skills in Python, including the development of reproducible data-analysis pipelines. Experience coordinating research or data-analysis tasks across projects. Strong
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of statistical programming languages (R or Python), Bash computing and work with high-performance clusters. Experience with Next Generation Sequencing data would be desirable. The post is available fixed-term