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. Programming knowledge and ability, with languages such as Python, SQL, R, or C#. Experience with ETL tools and data management principles, in particular, with Microsoft Fabric or other data warehousing
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utilizing applications such as AWS, Python, MATLAB, R, SQL, HTML; Experience in the development of the CoCANoT consortium website; Experience in Drupal Lite application systems for web development Preferred
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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dynamical systems. Programming skills (Python, MATLAB, or equivalent). Interest in quantitative modelling of biological systems. Ability to work with interdisciplinary data (omics and imaging). Desirable
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time, develop their own independent research careers. More information about the lab is at https://hoanglabregen.com/ Responsibilities* The successful candidate will work with a dynamic and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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a closely related field of basic or applied science Proven experience using mechanical design software Strong programming skills in Python and C++ Hand-on experience in lab instrumentation Good verbal
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shaping the future of computational education at Duke. Minimum Requirements 2–4 years of professional software development experience. Proficiency in Python 3.10+ and async/await patterns. Experience with
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management. Preferred Qualifications: Ph.D. in Plant Breeding/Genetics, Genomics, or related field, familiarity with plant breeding programs, proficiency in R and/or Python, experience with genome-wide
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using Python-based environments (e.g., Jupyter Notebook, Google Colab) Conduct validation and performance evaluation of developed models Conduct literature reviews and benchmarking of existing AI