Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Belgium
- United Kingdom
- Portugal
- Sweden
- Luxembourg
- Netherlands
- Norway
- Singapore
- Australia
- United Arab Emirates
- Spain
- Poland
- China
- Italy
- Switzerland
- Austria
- Canada
- Denmark
- Hong Kong
- Ireland
- Japan
- Vietnam
- Brazil
- Czech
- Finland
- Greece
- India
- Israel
- Morocco
- Romania
- Saudi Arabia
- Slovenia
- Worldwide
- 26 more »
- « less
-
Program
-
Field
-
- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio
-
; &/or preparing basic charts & graphs. Responsible for other duties such as preparing charts for the participant visits, setting up and cleaning the exam rooms before and after the visits, entering data as needed
-
OpenID Connect Strong understanding of authentication and directory protocols including Kerberos, NTLM, LDAP and LDAPS Experience with PowerShell automation and Microsoft Graph API Experience supporting
-
, maintains, and updates queries and reports to fulfill recurring data needs for internal and external reporting requirements. Produces tables, graphs, dashboards, and narrative analysis of data to easily
-
, R Shiny, and frameworks for Large Language Models (LLMs) or Graph Neural Networks (GNNs). We are an equal opportunity employer, and all qualified applicants will receive consideration for employment
-
statistics, prepare charts and graphs, and develop meaningful solutions to specific problems. Professional competency in writing, editing and proofreading. Accuracy and attention to detail. Decision-making
-
systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
-
computing and decentralized intelligence where a swarm of nodes learns graph dependencies by effectively integrating the structure of distributed systems into neural network architecture. This approach
-
Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
immunotherapies, integrating graph neural networks, regulon-aware pooling, and transfer learning with biological regulatory networks. 4) Developing and validating computational biomarkers (IGR burden, TAA burden
-
language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods