Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Singapore
- Sweden
- Germany
- Netherlands
- Portugal
- Spain
- United Kingdom
- Austria
- Poland
- Canada
- Belgium
- Norway
- Ireland
- Italy
- United Arab Emirates
- Australia
- Japan
- Saudi Arabia
- Cyprus
- Hong Kong
- Qatar
- Romania
- South Africa
- China
- Denmark
- Finland
- Morocco
- Slovakia
- Switzerland
- 21 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Biology
- Science
- Arts and Literature
- Environment
- Materials Science
- Mathematics
- Education
- Psychology
- Chemistry
- Humanities
- Earth Sciences
- Linguistics
- Social Sciences
- Law
- Sports and Recreation
- Design
- Electrical Engineering
- 12 more »
- « less
-
expenses, budgeting, forecasting, cash flow, financial statements, fund balances, and variance analysis. Excellent interpersonal and communication skills and the ability to present complex data to both
-
digital behaviour. • Experience in data analytics and reporting, including data processing, visualization, dashboards, automated reporting, trend analysis, anomaly detection, or insight generation from
-
infrared data sources from the Euclid catalog. • Support in the preparation of the scientific and technical documentation associated with the project. Where to apply Website https://sede.udc.gal/services
-
Research Assistant position. The position starts in Summer 2026. The Research Assistant will contribute to data collection, processing, visualization, analysis, interpretation, and dissemination of results
-
, policy analysts, biostatisticians, data scientists, and data visualization specialists to address the analytic needs and strategic priorities of IHPR and develop reports leading to policy recommendations
-
units. Ensure consistent application of data analysis best practices, including dashboard creation, automated reporting, and visualization tools such as Tableau, Google Analytics, and Excel. Establish
-
morphodynamic models AND/OR proficiency and experience in coastal/nearshore field data collection and analysis. Strong written, oral, and visual communication skills. Good understanding of coastal sediment
-
project, program and/or portfolio management work Applies guidance from common risk assessment and mitigation frameworks Data Acumen and customer centricity Applies data visualization techniques
-
, operational reporting, and data interpretation skills. Experience with portfolio reporting, dashboards, operational data analysis, or data visualization tools preferred. Advanced Microsoft Excel skills
-
community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences Applications