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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 29 days ago
desirable Expertise in RNA biology, mitochondria, or stress response will be considered a strong advantage Familiarity with programming languages such as R or Python for data analysis is beneficial Excellent
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
looking for a motivated researcher with a PhD (or near completion) in fungal genomics or a related field, proven research output, and strong computational skills (Linux, Python, R, HPC). You’ll bring
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(e.g., Python, C#, or Ruby) and platforms commonly used in digital forensics and backend development. Familiarity with software development lifecycle including design and documentation of software
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terms of publications Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive
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statistical methods and programming languages such as R, Python, or similar. Experience: Previous experience with large-scale genetic datasets and exposure data. Research Experience: A strong publication record
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Quantitative Systems Pharmacology (QSP), would be highly preferable. Knowledge of neural-ODE or Universal Differential Equations is a plus Proficiency in Python or Julia (Python preferred) & modern ML tools
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Python – information provided in the CV and/or motivation letter; c) Processing and visualization of large files (NetCDF) – information provided in the CV and/or motivation letter. Contracting requirements
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Canada, the USA, the UK, or New Zealand. Proficiency in Python, MATLAB, or C++, and demonstrated experience in deep neural networks and mathematical optimisation, are essential. A commitment to equity
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ICT systems’ security Strong programming skills, especially in Python, MATLAB, and/or C/C++. To be admitted into the PhD programme in Engineering and Science, the applicant must hold a master's degree
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools