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Field
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programming and data analysis using R, Python, MATLAB, or comparable platforms. Skill in oral and written scientific communication, as demonstrated through peer‑reviewed publications and conference
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communication skills are expected. Preferred: Working knowledge of MonolixSuite, R Shiny, and Python is highly desirable. Special Instructions to Applicants: To be considered, you must upload your cover letter
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Resources, Geography, or related fields. Experience in processing and analyzing LiDAR data using open-source scientific programming languages (R or Python). Desirable requirements: International publications
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tasks Programming proficiency in Python (knowledge of R is an advantage) Experience developing agentic AI systems using LLM APIs/SDKs, including tool use, orchestration, and workflow design Proficiency in
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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real-time perception systems and deployment on robotic platforms. • Proficient in C++ or Python; experience with ROS and robotic middleware. • Familiar with UAV systems (e.g., PX4), and simulation
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Python. Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred. Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker
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, or high-dimensional data analysis. Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred. Proficiency in R, Python, or similar programming
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and oral communication skills. Competence in information visualization and interaction design. Basic scripting or control software development skills (e.g., Python or C++) are advantageous. Experience
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empirical research. Applicants should be comfortable working with data and has some experience in either R/Stata/Python/Julia. The position requires strong organizational skills, care in handling data