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and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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support for ticketed sports/events, assisting with financial reconciliations including monitoring the ticket office clearing account, and working closely with Team Aggie to provide ticketing/ parking/event
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material design process. Some potential key research objectives: AI Model Development: Create machine learning models to predict FGM properties based on compositional gradients and processing conditions
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, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity
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, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster Create a Job Match for Similar Jobs
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condition leading to medical discharge following combat related trauma in our military. Learning opportunities include, but are not limited to: exposure to various aspects of pre-clinical research by
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across Facilitator projects Attend fortnightly Facilitator team meetings (online) Meet regularly with remotely based Facilitators to ensure two-way exchange of information and learning Review and monitor
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in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling
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that represents the onset and progression of obesity and the onset, progression and consequences of the key conditions that are related to it, as well as the defined set of policy options to be evaluated