Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- THE UNIVERSITY OF HONG KONG
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- FAPESP - São Paulo Research Foundation
- Stanford University
- TTI
- Texas A&M University
- Utrecht University
- Aalborg University
- Aarhus University
- Adam Mickiewicz University, Poznań
- Barcelona Supercomputing Center (BSC)
- CNRS
- Cornell University
- Durham University
- GFZ Helmholtz-Zentrum für Geoforschung
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Nantes Université
- Nature Careers
- Scion
- Texas A&M AgriLife
- Texas A&M AgriLife Extension
- The Ohio State University
- The University of Memphis
- University of Florida
- University of Maine
- University of Maryland
- University of Nevada, Reno
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of Oregon
- University of Washington
- Université Savoie Mont Blanc
- Université de Caen Normandie
- 23 more »
- « less
-
Field
-
background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
-
, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office (including
-
; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS
-
. Excellent proficiency in spatial and statistical programming (e.g., R, Python, or Google Earth Engine). Proficiency in, and commitment to, version control (e.g., Git), reproducible research practices, and
-
predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
-
languages and data analysis tools such as Python, Matlab, and R. Proficiency in GIS software (e.g., ESRI ArcPro). Strong written, oral, and visual communication skills. Responsibilities Research- Under
-
, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
-
Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference
-
record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
-
recognized Ph.D. completed within the last 5 years in remote sensing, environmental monitoring, forest science, or another applicable field, with demonstrable experience in GIS and proficiency in Python and