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, strategic planning, or project management-preferably in a higher education or research-intensive environment. Outstanding statistical and data science skills. Proficiency in R and/or Python for data
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analysing biomedical datasets using Python and/or R Experience working with complex data types Demonstrated ability to develop data processing or integration pipelines Familiarity with high-performance
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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems
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carried out in Python. This includes, for example, the construction of modular systems for vaccine production or the drug coating of balloon catheters. Possible areas of responsibility: Selection and
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, grants). Expert at one or more analytical programming languages (MATLAB, R, Python, etc.) Track record of leading projects across institutions and fields for example working with clinicians
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Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also be involved in the development and delivery of short courses for industry
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reproducible computational workflows. This is an excellent opportunity for someone with strong programming skills in Python, MATLAB, or R, and an interest in computational neuroscience, to contribute directly to
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knowledge of programming (e.g., Python, R, or MATLAB) Experience of working in tropical cities Experience in systematic literature review is desired Interest and/or experience in urban landslide research
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to the table Study of mathematics, computer science, physics, engineering or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch