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tools. Strong programming skills in at least one language (e.g. Python, R, or C++), and experience contributing to a shared codebase using version control (e.g. git). Experience working with large
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The Jiang Lab, The Icahn School of Medicine at Mount Sinai | New York City, New York | United States | about 5 hours ago
cell culture and differentiation, or/and python-based analysis pipelines is highly preferred. The goal of our lab is to develop mutation-tailored CRISPR-based genome editing tools and translate them
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complex tasks, e.g. R, ArcGIS, and Python is a requirement Experience in the mapping and modelling of ecosystem services is an advantage Knowledge and understanding of European farming systems and/or
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qualifications: Proficiency in scientific programming (e.g., Python) Proficiency in deep learning frameworks (e.g., PyTorch) Background in machine learning, mathematics, linear algebra, and statistics Experience
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 21 hours ago
(such as with Python or MATLAB) for data computation and visualisation Methods for imaging or probing the Earth’s upper mantle, in particular using receiver functions Prior experience of working with large
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) corresponding to a minimum of four years in the Norwegian educational system. Experience in scientific programming. Desired qualifications: Proficiency in scientific programming (e.g., Python) Proficiency in deep
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security in 5G and Beyond networks. You have a working knowledge of telecom standards and specifications, such as O-RAN, 3GPP, and ETSI. You have programming experience, preferably using Python, within a
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. Software development experience in C++, C, Fortran, MATLAB, R, Python, Julia, or related languages. Experience with high-performance scientific computing. Appropriate background and experience to pursue
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, sediment traps, or related coastal-marine monitoring equipment will be advantageous. Proficiency in Python, MATLAB, or similar programming / data-analysis tools. Further ability to use AI/Machine Learning
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data extraction, high‑throughput sequencing data analysis, and bioinformatics workflows used in research and/or diagnostic settings. Strong programming skills (e.g., Python, R, Perl, C/C++, Bash) and