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. Knowledge of Python programming language, including experience in developing scripts and tools for data processing and analysis. Demonstrated ability to meet deadlines and deliverables. Willingness and
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better than 2.5 - Very good programming skills (e.g., Python, JavaScript/Angular/Electron, C++, or comparable) - Experience in the development of simulation environments or experimental software platforms
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for diagnostics and therapy Conduct comprehensive bioinformatic analysis utilising established methodologies and tools (e.g. R, Python, MATLAB and other relevant bioinformatics software packages) Collaborate
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computing (e.g. Python, C/C++, Fortran, MATLAB). Ability to analyse and interpret complex datasets, with good scientific judgement and attention to detail. A motivated, collaborative researcher with strong
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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programming skills in for instance Python, Matlab or another programming language is a requirement. Experience with geodynamic and/or landscape evolution modelling is an advantage. Experience with tectonics
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computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term until 31 December 2026. The closing date for applications is noon
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developing Python software and optimization workflows in Pyomo/PyROS is desired. This is a fixed-term position of up to 6 months and is inclusive of competitive salary and full-time benefits. The starting date
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses