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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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, such as R, Python, and statistics, and to learn collaboration and leadership skills through workshop and group experience. USDA-ARS Mentor: If you have questions about the nature of the research, please
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, such as R, Python, and statistics, and to learn collaboration and leadership skills through workshop and group experience. USDA-ARS Mentor: If you have questions about the nature of the research, please
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quantitative microscopy (live-cell imaging, high-content screening, or single-cell/single-bacterium imaging) Comfort with image analysis pipelines and scripting (Python), experience integrating ML-based image
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computational methods for engineering analysis. Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages. Experience with advanced sampling methods
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or python. An interest in evolutionary biology, comparative genomics or the biology of early-diverging animals would be beneficial, although applicants primarily trained in molecular pharmacology, cell
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, or fibre-based optical clock comparison and dissemination. Experimental automation Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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optics, near-infrared spectroscopy (NIRS), diffuse optics, photonics or related areas. Experience in scientific software development and programming (e.g. Python, MATLAB, C/C++, LabVIEW). Experience in
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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 applying