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analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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skills in Python and/or R; experience with Linux/HPC environments is an advantage Experience with genomic data analysis, high-performance computing, GPU programming, or software development is a plus
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equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
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geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include the ability to work independently, take initiative, and explore new
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and control and its applications. This PhD position is jointly supervised by Nathan van de Wouw, Tom Oomen and Michelle Chong. Where to apply Website https://www.academictransfer.com/en/jobs/357905/phd
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, BPC and CC-GWAS . Where to apply Website https://www.academictransfer.com/en/jobs/357521/phd-student-genetic-prediction-… Requirements Specific Requirements You are an ambitious and analytically strong
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to apply Website https://www.academictransfer.com/en/jobs/357715/phd-high-resolution-modelling-o… Requirements Specific Requirements We are looking for a motivated candidate to develop and apply high
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or equivalent) Strong programming proficiency in Python Experience with deep learning frameworks such as PyTorch and/or TensorFlow Experience using data science libraries (e.g. NumPy, Pandas, SciPy, scikit-learn
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, Grasshopper, Python). Explore new trajectories for the advancement of AI-supported integrated architecture and its potential impact on the build environment. Contribute to developing open-source tools and code