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IRMS system with Kiel automated carbonate system. Experience conducting clumped isotope heating experiments. Experience using clumped isotope reordering models and programs such as the Isotopylog Python
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-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package for widespread use of the methods. May
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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sequencing data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in
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generator code, C++, Python. Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail. Salary: Compensation will be commensurate based on the selected candidate's
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
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, including LiDAR, cameras, inertial sensors, and camera tracking systems. Strong programming skills in C++ and/or Python, with experience developing software using Robot Operating System (ROS/ROS2). Experience
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laboratory, simulation, or field-based experiments Experience developing software using Python, MATLAB, C/C++, ROS, simulation environments, or other scientific computing tools applicable to autonomous systems
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, R and/or Python) for transcriptomic analysis and data integration. Experience in bacteriology and BSL-2 practices, including Salmonella or other enteric pathogen culture, serotyping/purity
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, GraphPad Prism, Python/R, or related tools. Experience or interest in cancer pharmacology, immuno-oncology, natural killer cell biology, drug discovery and development, translational therapeutics, blood