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Field
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(e.g., GIS, system dynamics, statistical programming) #strong knowledge of qualitative methods in empirical social research #experience working in interdisciplinary and international research projects is
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reports, grant writing, and extension and professional presentations and activities Qualifications Required Qualifications: - PhD in soil science, agronomy, environmental science or closely related field
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: PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology. Strong background in mouse models and neurodevelopmental
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requires the application of interdisciplinary skills across hydrology, hydrogeology, environmental and civil engineering, and programming. You will collaborate with a team of researchers to support model
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Appointment Term: 2025-2026; 12-month appointment Appointment Start Date: September 1, 2025 Group or Departmental Website: https://hai.stanford.edu/research/fellowship-programs/hai-postdoctoral-fellow-al
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collaboration with statistical physicists for data analysis and experimental design. The Associate is expected to generate breakthrough ideas in the assigned area of research, as well as to carry out research in
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is expected to develop a research proposal within the scope of this project for a PhD research program, and to participate in literature searching, data analysis and interpretation and to write up
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer