Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- Nanyang Technological University
- National University of Singapore
- University of Arkansas
- University of Michigan
- Hong Kong Polytechnic University
- Institute for Basic Science
- University of British Columbia
- University of Oslo
- ;
- Francis Crick Institute
- INESC TEC
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Marquette University
- Max Planck Institute of Biochemistry, Martinsried
- Middlesex University
- Middlesex University;
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen
- Singapore University of Technology & Design
- Tampere University
- University of Bergen
- University of Science and Technology of China
- University of Texas at Austin
- University of Waterloo
- Visterra, Inc.
- Wayne State University
- 19 more »
- « less
-
Field
-
://dimag.ibs.re.kr/ Successful candidates for the research fellowship positions will be new or recent PhDs with outstanding research potential in all fields of Discrete Mathematics with emphasis on Structural Graph
-
– “EnergyKnow: Knowledge-driven smart building energy management with heterogeneous energy systems”. He/She will be required to: (a) develop and integrate knowledge-graph and AI methods for heterogeneous
-
] Duties The appointees will assist the project leader in the research project – “Algorithms for databases and graphs: Scalable, trustworthy, and intelligent data analytics”. Qualifications Applicants
-
, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
-
, such as InfiniBand and Ultra Ethernet. Our project will also deliver a comprehensive set of PyTorch libraries, encompassing various optimized models for scientific applications, including Graph Neural
-
; Specialized in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Familiar with social network analysis (SNA) using
-
experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter Notebooks; Specialized in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and
-
, and Jupyter Notebooks; Advanced in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Familiar with social network
-
Notebooks; Expert in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Expert in social network analysis (SNA) using
-
trials, and treatment guidelines, and transform these into structured knowledge graphs encoding relationships among histotypes, biomarkers, therapies, and outcomes. Assess the accuracy, completeness, and