12 phd-in-statistics "University of Leeds " Fellowship research jobs at Missouri University of Science and Technology

FELLOW, POST DOCTORAL

collect and document data from research studies. • Conduct statistical analyses, process imaging data, and handle research informatics tasks. • Collaborate with fellow lab members on probiotic bacterium

FELLOW, POST DOCTORAL

will lead a team of PhD students, Masters students, and UG research assistants. A brief description of this position duties include: Numerical modeling of structural members and systems under static and

FELLOW, POST DOCTORAL

to writing of protocol documents. Systematically collect and document data from clinical trials and research studies. Conduct statistical analyses, process imaging data, and handle research informatics tasks

FELLOW, POST DOCTORAL

at national and international meetings, preparing manuscripts and fellowship applications, and helping train new graduate students/lab members. Qualifications The qualified candidate must have a recent PhD in

FELLOW, POST DOCTORAL

with academic and industry partners Train graduate and undergraduate students in our group Qualifications PhD by start of the appointment is required Candidate will be evaluated on the following: Because

Postdoctoral Fellow, Neuroscience, Peripheral Nerve Disease

grant writing. Underrepresented minorities, women, and individuals with disabilities are encouraged to apply. 100% on-site work. Qualifications PhD or equivalent in neuroscience, cell biology or related

Postdoctoral Fellow, Agronomy/Soil Science

, statistical analysis, and technical evaluation of research experiments and results; and summarize results for inclusion in scientific and clientele-oriented publications and presentations at professional and

Postdoctoral Fellow

budgeting analysis Familiarity with STATA, R or similar statistical/mathematical tools. Evidence of the ability to conduct independent economic research and assume responsibility for the development and

FELLOW, POST DOCTORAL

. ·         Mentor graduate and undergraduate students and provide guidance on experimental and computational techniques. Qualifications The qualified candidate will have a PhD in the field of plant genomics, plant

Postdoctoral Fellow, Wildland Fire Effects on Tree Growth and Wood Properties

will be evaluated on: Experience in programming, data analysis, model development, and statistical analysis of spatial and temporal datasets. Evidence of strong scholarship, including peer-reviewed