-
/Clinical Professors (52-week contract) with expertise in statistics and research methodology to begin September 1st, 2024. Department appointment will be determined based on candidate’s discipline. In
-
related field with a background in affective, cognitive, social, health or systems neuroscience; Established quantitative and statistical skills using neuroimaging analysis platforms; and Excellent writing
-
demonstrated ability and competence is a must. • Knowledge and skills required for this position are typically acquired through the completion of a Bachelor’s degree; Master's or PhD degree in statistics, data
-
-specific statistical models and find growth in identifying and recommending statistical models based on hypothesis, identifying patterns, trends, outliers, and correlations. Apply comprehensive knowledge
-
modeling and other relevant statistical tools preferred. A proven understanding of the dynamics of a complex and culturally diverse university community. Strong interpersonal, written and oral
-
on-ground in Portland, ME. Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, and
-
. Qualifications: Education & Experience: Advanced degree (MSc/PhD) in Computer Science, Engineering, Applied and Computational Mathematics, Statistics, or a related field, complemented by at least ten years of
-
industry sectors. Qualifications: Education & Experience: Advanced degree (MSc/PhD) in Computer Science, Engineering, Applied and Computational Mathematics, Statistics, or a related field, complemented by
-
/project.html Minimum Qualifications: Ph.D. in Operations Research, Applied Mathematics, Statistics or related. Solid background in stochastic process, simulation, ML, mathematic statistical methods, and
-
, Computer Science, Applied Mathematics, Statistics or related. Solid background in ML, mathematics, statistical methods, and understanding of biomanufacturing process. Experience in doing research in a multi