29 phd-mathematical-modelling-population-modelling Fellowship positions at Zintellect
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updates in a landscape evaluation toolkit, which include new models for listed and sensitive species. These models can inform managers during planning on how to improve forest health and reduce adverse
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with a team focused on developing new systems and novel techniques and tools, such as improving smoke modeling systems through a variety of means. This may include multi-model approaches, statistical and
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internationally known, unique facilities. This team has developed state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water
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approaches will include species distribution models and integration of spatially explicit environmental variables including climate, hurricane disturbance, and land-use, among other global and Caribbean region
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used to assess transfer of pathogen loads to fruits and vegetables. The microbial community changes and its influence on pathogen levels will also be quantified. These data will fit into models
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modeling, experimental testing, and validation. AFIT is pursing cutting edge research in these areas with a variety of academic, government, and national laboratory partners. Appointment activities may
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use of molecular assays such as real-time PCR and next-generation sequencing to study the prevalence of infectious diseases in the target study populations. Learning about sample testing under a
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balance modeling techniques (see below) with existing datasets of field-observed microclimate measurements (e.g. temperature and soil moisture) under various vegetation structural conditions. Objective 2
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. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (6 ) Life Health and Medical Sciences (11 ) Mathematics and Statistics (2 ) ORISE GO The ORISE GO mobile
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of new coffee varieties that are resistant to CLR while maintaining high cupping quality. Additionally, the participant will assess genetic diversity and population structure of tropical and subtropical