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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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
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