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field preferred. Experience with R, Python, Stata, or a similar programming language preferred. Experience with machine learning, natural language processing, generative AI, or automated scoring strongly
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learning, decision-making, belief updating) Coordinating large database of computational task data for harmonized analyses Modeling individual differences and within-person change over time in a longitudinal
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programming in Python, R, or an equivalent research language Excellent written and spoken English, intellectual independence, and the ability to collaborate effectively across disciplines; A commitment to
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
these research areas is desirable. The applicant should be comfortable with running at least basic statistical analysis and ideally have R, MaUab or Python coding experience. The applicant will be
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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
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conjectures and intuitions proffered for the implications of new theories, providing general comparative-statics and calibration results, and working out examples and applications of models to different
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research direction is the integration of strategic transport models, such as discrete choice modelling (DCM) with agent-based modelling (ABM), to examine potential transport behaviour under different
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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental