Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- Chalmers University of Technology
- Cornell University
- Eindhoven University of Technology (TU/e)
- Aarhus University
- EPFL
- Harvard University
- KTH Royal Institute of Technology
- Maastricht University (UM)
- Oak Ridge National Laboratory
- Pennsylvania State University
- Brookhaven National Laboratory
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- ETH Zürich
- FAPESP - São Paulo Research Foundation
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Massachusetts Institute of Technology
- Mohamed bin Zayed University of Artificial Intelligence
- Nencki Institute of Experimental Biology
- New York University
- Norwegian University of Life Sciences (NMBU)
- Princeton University
- Technical University of Munich
- The University of Arizona
- University College Cork
- University of Arkansas
- University of Oxford
- University of Oxford;
- Université de Caen Normandie
- VIB
- 23 more »
- « less
-
Field
-
the university/college community, and apply for jobs. Minimum Qualifications PhD in human-computer interaction, information science, learning sciences, computer science, or a related field, conferred by the start
-
biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
-
Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
-
/or oceanography; or experience working with numerical simulations, large data, scientific programming, and/or machine learning. Applicants are asked to send a CV, a brief statement of research
-
framework to train, test and validate a machine learning-based forward operator to enable the assimilation of SAR data into a crop growth model. Be responsible for the curation, storage and maintenance
-
field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
-
equivalent foreign degree, obtained within the last three years prior to the application deadline Experience with simulation frameworks, system-level performance evaluation, or machine learning, is highly
-
depth in some of the following areas (not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs
-
). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
-
data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus