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Field
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants
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organizational goals. Designing and implementing a public health program evaluation using quantitative and qualitative data analysis methods. Reporting evaluation results using data visualization techniques
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current methods cannot yet reveal how passive electrical properties vary within a single cell. In this role, you will conduct impedance imaging experiments on neurons using our in-house impedance microscopy
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, gaining exposure to public health research, evaluation, and scientific operations that support agency priorities. The participant will strengthen skills in epidemiologic methods, scientific literature
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, and interpreting the Museum's important and in-demand permanent collection. The portfolio comprises some 10,000 objects numerically the largest segment of the Museum collection. These objects represent
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Context Statement Position Overview A postdoctoral position is available in the Department of Physics at the University of Idaho. The primary focus of this position is advancing numerical relativity methods
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or physics or related fields Documented practical wet lab experience and basic skills in organic chemistry Documented basic knowledge and some practical experience in programming and numerical methods. Foreign
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organizational and program objectives. Learn qualitative research methods through conducting in-depth interviews with internal stakeholders and staff. Build analytical skills by performing gap analyses and
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acoustic metamaterial solutions, including porous materials (porous concrete); - support in testing tools and numerical models for predicting the performance of acoustic metamaterials; - development
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learning methods for process automation within SharePoint and Microsoft enterprise platforms. Under the guidance of a mentor, the participant will explore research approaches related to large language model