Sort by
Refine Your Search
-
, Pratt prepares future engineering leaders to address complex challenges with solutions that take into account the complexities and nuances of implementing them. Pratt takes a whole-student approach to
-
, United States of America [map ] Subject Areas: Climate Science Atmospheric Sciences Quantitative Analysis Appl Deadline: (posted 2025/05/12, listed until 2025/06/23) Position Description: Apply Today is the last day you can
-
-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
-
career, with background in psychology, behavioral pharmacology, and/or neuroscience. A strong quantitative background and/or experience with fMRI data analysis is preferred. Duke offers a highly
-
into conservation and ecosystem restoration to advance outcome success. We test our research questions with multi-factorial, field experiments and complement that approach with modeling, meta-analysis, and/or
-
, excellent communication, data processing, organizational, written and oral presentation, and problem-solving skills. Experience in animal handling and/or high throughput sequencing analysis is strongly
-
will involve analyzing patient data and coordinating analysis of patient samples. In addition to a copy of their resume, applicants are encouraged to submit a cover letter detailing their interests and
-
for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun Kannawadi, Dan
-
- Executing experimental designs Data Analysis and Presentation/Writing/Publication (20%) - Recording and annotating datasets - Interpreting results to draw conclusions and design subsequent experiments
-
related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management