Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- The University of Queensland
- Zintellect
- Center for Drug Evaluation and Research (CDER)
- Curtin University
- University of Arkansas
- Missouri University of Science and Technology
- Nanyang Technological University
- Lawrence Berkeley National Laboratory
- University of California
- University of Texas at Austin
- Center for Devices and Radiological Health (CDRH)
- Flinders University
- Hong Kong Polytechnic University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Tampere University
- The University of Manchester;
- University of British Columbia
- University of Leeds;
- University of Manchester
- University of Michigan
- University of Michigan - Ann Arbor
- University of Notre Dame
- University of Toronto
- 13 more »
- « less
-
Field
-
graph construction and mining, CDE development for data harmonization. Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework High
-
uncertainty. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic
-
by Jul 27, 2026: The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI
-
discovery by performing gene mining, constructing and screening transporter libraries, engineering microbial hosts, and analyzing pooled sequencing data to identify transporter function. Interpret and present
-
. Apply the platform to large-scale transporter discovery by performing gene mining, constructing and screening transporter libraries, engineering microbial hosts, and analyzing pooled sequencing data
-
School of Mechanical and Mining Engineering, Faculty of EAIT Full-time (100%), fixed-term position for up to 12 months Academic Level A or B (Postdoctoral Research Fellow / Research Fellow) Level A
-
in educational data mining and AI for education, with the ability to handle a large amount of data Prior experience working with LLMs, including programming, fine-tuning, evaluating and benchmarking
-
. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
-
Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 hours ago
: Learning to develop and apply data-mining tools Reviewing, extracting, and harmonizing data from literature Constructing and enhancing training databases for modeling purposes Learning to develop, validate
-
Status: Closed Applications open: 10/04/2026 Applications close: 17/04/2026 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer Information