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Field
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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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(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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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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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
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. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous