Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Cincinnati
- University of Texas at Austin
- Utrecht University
- Hong Kong Polytechnic University
- Luxembourg Institute of Socio-Economic Research (LISER)
- National University of Singapore
- Oregon State University
- Stanford University
- TTI
- University of British Columbia
- University of Minnesota
- University of Oregon
- ;
- Aarhus University
- Auburn University
- Cardiff University
- Dalhousie University
- Durham University
- East Carolina University
- Florida International University
- Forschungszentrum Jülich
- Kentucky State University
- Leibniz
- Nanyang Technological University
- Nature Careers
- Ohio University
- Pennsylvania State University
- Purdue University
- Queen's University Belfast
- Ryerson University
- Texas A&M AgriLife
- Texas A&M AgriLife Extension
- Texas A&M University
- The University of Memphis
- University of Delaware
- University of Illinois at Urbana Champaign
- University of Maryland
- University of Nevada, Reno
- University of New Hampshire – Main Campus
- University of Saskatchewan
- University of South Carolina
- University of Tasmania
- Yale University
- 34 more »
- « less
-
Field
-
., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong publication record related to current position
-
statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
-
to show leadership in scientific projects commensurate with career level. Skills 8. Quantitative skills for analysis of complex spatial survey data, such as via a GIS 9. Numerical skills appropriate
-
with STATA, R, Python or related statistical software. GIS expertise is ideal. Application Process Please submit an online application and attach the following documents: Short statement of research
-
techniques, by powder diffraction, PDF analysis, GI-PDF, and complementary characterization techniques, e.g. IR Experience in material synthesis Motivated and creative approach to research with the ability
-
of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
-
of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
-
analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using geographic information systems (GIS
-
quantitative field ;•Excellent knowledge and experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS
-
experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication