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economics, market design, and policy-relevant research. Experience with numerical, computational, or simulation-based methods (e.g. Matlab, Python, R, or similar); experience with statistical software is an
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degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
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scripting or programming language (e.g., Python, MATLAB, R). Experience working with next generation sequencing data and/or big data (e.g. genomics, RNA-seq, single-cell RNA-seq, epigenomics, proteomics
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the potential ability to perform the essential functions of the job as outlined in the position description. Preferences Proficiency in one or more programming languages (Python, R, SQL, MatLab, etc.) Background
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MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering to laboratory protocols. Device Fabrication & Testing
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Qualifications: • Experience creating customized MRI acquisition methods • Experience in quantitative MRI techniques • Programming skills in MATLAB and Python • Ability to present research effectively through both
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Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record