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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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degree in transport engineering, ocean engineering, maritime transport and management, computer science, or a related field from a recognized university. Excellent programming skills, such as Python, C
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pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD
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with z-Tree, oTree, and Python. Running computerized laboratory, online, and field experiments. Recruiting, training, and supervising undergraduate research assistants Performing research duties (e.g
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modeling. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience handling large geospatial, atmospheric, or remote sensing datasets is preferred. Strong
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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skills (e.g., Python) implementing computational analytical pipelines and familiarity with machine-learning frameworks are required. The post is full-time 35 hours per week, 1.0 FTE and fixed term for 19
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reports. Job Requirements: PhD in Physics, Applied Physics, Plasma Physics, or related field. Demonstrated experience in scientific computing and numerical modelling (e.g., Python/C/C++/Fortran). Experience
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, computer science, physics, data science or a closely related discipline. • Experience in MRI image analysis and scientific programming, preferably using Python and modern computational libraries. • Experience
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, delamination, metastability effects) Identify gaps and contradictions in reported degradation knowledge and formulate hypotheses that connect findings across studies Develop data analysis procedures (Python