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sponsors; and documentation of findings in reports and papers. Candidates with five years of industrial experiences and programming in Matlab and Python are preferred. BACKGROUND CHECKS/CLEARANCES Employment
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using Python-based environments (e.g., Jupyter Notebook, Google Colab) Conduct validation and performance evaluation of developed models Conduct literature reviews and benchmarking of existing AI
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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- Experiencia en desarrollo y programación de red con lenguajes de alto nivel tales como Python, JavaScrit/Note, PHP. - Experiencia en bases de datos relaciónales como MySQL y no relacionales como MongoDB. Se
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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support systems. Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift. Developing and implementing APIs between various systems. Learning and gaining experience in game
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(Python, C) and computer-aided omics approaches (transcriptomics, RNA imaging), as well as pathway modeling, are highly desirable. Specific Requirements Microscopy (live and fixed tissues); computer-aided
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Python will be helpful, as will experience scanning. If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply - please review the application