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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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, 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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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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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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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 17 days ago
Mobility in Neighbourhoods with Different Levels of Accessibility" (Project Reference: DUT/0007/2022), funded by the Foundation for Science and Technology (FCT, I.P.). - DOI:https://doi.org/10.54499/DUT/0007
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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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learning materials for researchers at different levels of technical experience. Advanced AI for research: Provides instruction and consultation on large language models, prompt and context design, model and
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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in