Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Australia
- Sweden
- Germany
- Portugal
- United Kingdom
- Poland
- Canada
- Morocco
- Singapore
- Denmark
- Austria
- Belgium
- Spain
- Netherlands
- Norway
- China
- Croatia
- Finland
- Hong Kong
- Italy
- Andorra
- Estonia
- Europe
- India
- Ireland
- Japan
- Saudi Arabia
- Switzerland
- Taiwan
- United Arab Emirates
- 22 more »
- « less
-
Program
-
Field
- Economics
- Computer Science
- Engineering
- Medical Sciences
- Science
- Biology
- Business
- Mathematics
- Earth Sciences
- Materials Science
- Social Sciences
- Chemistry
- Arts and Literature
- Environment
- Education
- Humanities
- Law
- Psychology
- Linguistics
- Philosophy
- Sports and Recreation
- Design
- Physics
- Electrical Engineering
- 14 more »
- « less
-
. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing Data Analyses, Advanced Image Processing, Data and Image Mining along with
-
command of written and spoken English • Experience with qualitative research methods is an asset • Good knowledge of machine learning /data mining in science • Good programming skills in at least one
-
(775-784-6589) for more information. Please refer to http://www.nevadaasun.com/documents/ for more information. Exempt No Full-Time Equivalent 0.0% Required Attachment(s) Please note, once you submit
-
Services. For more information, please visit: https://www.unr.edu/facilities Exempt No Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your application the only attachment/s
-
Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
-
requirements of the applicant FIXED-TERM: The position is for a fixed term of 3 years Further information about the project can be found here: https://cordis.europa.eu/project/id/101226422 In
-
. Analyzing both quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining. Transcribing and coding qualitative data using software packages
-
448: Network Security, and CSC 480: Data Mining. Preferred Education and Experience: Strong communication skills and the ability to explain technical concepts clearly. Completion of the required CSC
-
undergraduate research. For more information, please visit: https://www.unr.edu/undergradresearch Contact Information Staci Sipaila at ssipaila@unr.edu Exempt No Full-Time Equivalent 100.0% Required Attachment(s
-
Position Information Posting Number S06583P Position Title Business Quality Improvement Specialist Department TMAC Location Arlington Position Status Full-time Work Schedule Monday-Friday; 8:00am-5