Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with
-
postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
-
for analytical methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through
-
. Congress and stakeholders with data and policy analyses focused on regional agricultural financial outcomes. Through a coordinated multistate effort, RaFF evaluates how policy decisions and innovations
-
Presentation skills Analytical skills Attention to detail Responsibilities Research: Under general supervision, is responsible for conducting research into their field of expertise. Utilizes knowledge and skills
-
. Candidates must be able to independently plan, multi-task and complete projects. Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant
-
postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
-
for laboratory analysis. Proven record of involvement in broad research projects. Excellent data analytical skills. Demonstrated publication and presentation skills. Excellent interpersonal and communication
-
quantitative experience in various types of analytic techniques appropriate for longitudinal data. Experience writing academic manuscripts and preparing a grant application is also preferred. Applicants
-
T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional resources