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Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills
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) Experience working in Biosafety Level 2 laboratory Experience in computational data analysis, e.g., UNIX-based systems, R, Python, or similar tools for data processing and scripting Physical Requirements
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interactions in the extreme ultraviolet (EUV) regime Develop new, efficient software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining
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standard processing software. Analytical and modelling skills with R or Python; experience building automated, reproducible data pipelines. Excellent scientific communication and interpersonal skills
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technical reports, system documentation, and academic publications. Proficiency in job-specific technical skills, including programming and software development (e.g. Python, C++, Java, or similar languages
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/stochastic optimization and proficiency in Python or MATLAB. Applicants are invited to contact Dr Liu Wei at telephone number 2766 6928 or via email at [email protected] for further information
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/ machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research. Independent, highly analytical, proactive, and a strong team player Excellent
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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of Python and/or R for processing and analysing model outputs is also required. The candidate must also demonstrate a strong sense of initiative, particularly in fostering interactions with various
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, live climate data, energy demands, and socio-technical feasibility (PESTLE) to build an actionable Decision Support Systems (DSS). You will lead the technical development of a lightweight, Python-centric