Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- University of Arkansas
- Hong Kong Polytechnic University
- Indiana University
- Center for Drug Evaluation and Research (CDER)
- University of British Columbia
- University of New South Wales
- University of Texas at Austin
- Aarhus University
- Argonne
- Brunel University London;
- City of Hope
- Durham University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King's College London
- King's College London;
- Monash University
- NTNU - Norwegian University of Science and Technology
- New York University
- UNIVERSITY OF SOUTHAMPTON
- Universidade de Coimbra
- University of Beira Interior
- University of California
- University of Michigan
- University of Minho
- University of Oslo
- Zintellect
- 20 more »
- « less
-
Field
-
communication technologies is driving the progression of modern AI. However, current efforts are predominantly concentrated on Large Language Models (LLMs) tailored for industrial applications, leaving AI
-
for integrating large language models (LLMs) with empirical data analysis to enhance threat understanding, uncover emerging attack patterns and evaluate real-world security risks. Collaborate with academic and
-
language models, multimodal generative AI, and related areas. Develop algorithms, architectures, and training methods for world models, LLMs, and multimodal AI systems. Design methods for prediction
-
++, Python. Experience with Machine learning technologies (e.g., LLM, and Machine Learning) is an advantage Experience with Hardware, e.g., FPGA acceleration, is an advantage. Excellent communication skills
-
in AI for education, Human-AI collaboration, and Large Language Models (LLMs) to contribute to two ongoing projects: 1. The Impacts of Generative AI on Creativity, Decision-Making Performance, and
-
requirements: Candidates must hold, at the time of application, a Bachelor’s degree in Informatics Engineering or related fields. Candidates must also have knowledge in: i. Deep Learning and LLMs: practical
-
/Project Assistant, applicants should have an honours degree or an equivalent qualification. Applicants should also have expertise in: (a) AI security (e.g. LLM vulnerabilities, prompt injection defense
-
Assistant, applicants should have an honours degree or an equivalent qualification. Applicants should also have expertise in: (a) AI security (e.g. LLM vulnerabilities, prompt injection defense), Web3
-
subtypes. Build and evaluate retrieval-augmented generation (RAG)-based large language models (LLMs) pipelines to extract key entities, relationships, and concepts from peer-reviewed literature, clinical
-
. This includes the development of novel applications of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral