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2026 semester. This course is structured as a general topics course on machine learning tools, and their implementation through languages such as Python, and the Python packages, Scikit Learn, Keras
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presentations, publications, and conferences. Basic Qualifications Bachelor’s degree in computer science, applied and computational mathematics, or related field. Programming experience with Python and JAX
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Physics, Applied Mathematics, or Computer Science, with experience in deep generative models (VAE, diffusion) and Python/PyTorch. Applications from statistical physicists are welcome. STILL HESITATING? The
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, Genetics, Chromatin biology, epigenetics, Genomics techniques and analysis i.e RNA-seq, ChIP-seq, CUT&Tag, Hi-C, R, Python Additional Information Selection process https://www.ucd.ie/workatucd/jobs/ Website
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imaging or electrophysiology, and/or proficiency in MATLAB/Python/R, and/or experience with mouse genetic models, electrophysiology, single cell RNAseq and spatial transcriptomics, behavioral assays
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
a high degree of independence. Experience mentoring or training junior researchers is required. Proficiency with MATLAB and/or Python is required. Preferred Qualifications, Competencies, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
statistical or scripting language such as R or Python. Demonstrated ability to work independently and to adapt, optimize, and troubleshoot experimental protocols, and to critically analyze and interpret complex
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development; equivalent combination of education and experience may be considered. • Experience developing applications using modern programming languages such as C#, Java, Python, JavaScript, TypeScript
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interaction, particularly under network constraints. Proficiency in working with hardware such as robot arms and software programming in C++/Python, ROS and MATLAB. Excellent command of English; German
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python