Assistant Project Scientist-Kebreab Lab

We are seeking a highly motivated and innovative Project Scientist to join our research team focused on advancing animal nutrition science through the development of mathematical models, including mechanistic models and meta-analyses. The ideal candidate will possess a strong background in mathematical modeling, and data analysis and will contribute significantly to research projects aimed at improving livestock production systems.

I. RESEARCH (90%)

Mathematical Model Development:

* Design and develop advanced mathematical models, including mechanistic models, to predict and optimize nutritional requirements and performance of livestock.

* Conduct meta-analyses to synthesize data and inform model parameters.

Research and Data Analysis:

* Collaborate with researchers and stakeholders to identify research objectives and design experiments.

* Analyze complex datasets using statistical and computational techniques to validate and refine models.

II. PROFESSIONAL COMPETENCE AND ACTIVITY (10%)

* Provide original and creative contributions to research projects, ensuring alignment with broader project goals.

* Contribute to the writing of research papers, grant proposals, and technical reports.

* Present findings at scientific conferences, workshops, and other academic venues.

Project Management:

* Oversee and coordinate research activities in the lab, ensuring project milestones are met.

* Manage subcomponents of larger research projects under the guidance of the Principal Investigator (PI).

* Collaborate with interdisciplinary teams, including faculty, postdocs, and graduate students.

III. UNIVERSITY AND PUBLIC SERVICE (0%)

The candidate is not expected to engage in public service and/or teaching classroom courses.

* Ph.D. or equivalent degree in animal nutrition, animal science, biological systems engineering, or a closely related field.

* Proven experience in developing mathematical models, particularly mechanistic models, applied to animal nutrition.

* Expertise in conducting meta-analyses and synthesizing large datasets.

* Strong analytical and computational skills, with proficiency in statistical software and programming languages (e.g., R, Python, MATLAB).

* Excellent scientific writing and communication skills.

* Ability to work independently and as part of a multidisciplinary team

* Demonstrated ability to provide significant, original, and creative contributions to research.

* Broader range of knowledge and creative leadership.

* Flexibility to manage multiple projects and adapt to evolving research priorities.

• 3-5 required (contact information only)

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