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                Field
 
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individual will play a major role in providing animal health, welfare, and other animal care duties in the UBC Gnotobiotic Research facilities hosted in Centre for Disease Modeling (CDM). This is a full-time
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modeling) or adjacent fields with engineering impact. (4) Fluency in prototyping and software development (e.g., Python, C++, CUDA, or ML frameworks) and interest in open-source collaboration. Position
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National Institute for Modeling Biological Systems. Application Instructions All application materials must be submitted in Interfolio at http://apply.interfolio.com/169857 Applications must include: a
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Fellows with appropriate graduate mentors. 4) serving as a role model and resource for all of the Fellows by sharing their experiences related to the practicalities and intangibles of an academic career
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
and molecular bases of chronic health conditions and/or human disease. A variety of experimental approaches, encompassing in vivo, in vitro, and in silico models, will be considered. Candidates
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(david.hicks@utrgv.edu ) (1) a copy of their CV, (2) unofficial transcripts with GPA and, if available, GRE scores, (3) a written statement (one page; two pages max) of graduate research interests, (4) contact
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journals in the field of large language models. Additionally, the appointee will be responsible for submitting grant proposals to various funding bodies. Furthermore, the appointee will have the opportunity
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treatment effect models. Ensure data quality by employing rigorous data cleaning procedures and by documenting all processes and coding steps transparently. Methodological Development Contribute to selecting
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forms of work and flexible working time models Opportunities for student research projects and theses Internships Responsible tasks that will help you develop your skills State-of-the-art technology and
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python