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Field
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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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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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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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- 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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applications and end user experiences Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift Developing and implementing APIs to write XR applications and use OpenXR standards
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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, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy working within a diverse team in an international and interdisciplinary environment Very good
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, MySQL, Weka, Python, Java, MATLAB, R, HTML, CSS, JavaScript/jQuery). - Advanced skills in UX/UI design and editing software (Adobe Illustrator, Adobe Photoshop, Adobe InDesign, Adobe Premiere Pro), as
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | about 2 months ago
of economics, or a closely related discipline. A Master’s degree (with distinction/merit) is desirable. Previous experience with analysing large dataset using statistical and econometric software (e.g., Python