Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Duke University
- Nature Careers
- Carnegie Mellon University
- Harvard University
- University of Oslo
- McGill University
- University of Cambridge;
- University of Liverpool
- University of Luxembourg
- University of Newcastle
- University of Pittsburgh
- University of Texas at El Paso
- Fraunhofer-Gesellschaft
- Imperial College London;
- Kaiyuan International Mathematical Sciences Institute
- King's College London
- NTNU - Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Oak Ridge National Laboratory
- Pennsylvania State University
- Radboud University
- Technical University of Munich
- University of North Texas at Dallas
- ;
- AALTO UNIVERSITY
- AIT Austrian Institute of Technology
- Aalborg University
- Aarhus University
- California Institute of Technology
- Cardiff University
- DAAD
- Fondazione Bruno Kessler
- Heidelberg University
- ICN2
- Imperial College London
- LIVERPOOL JOHN MOORES UNIVERSITY
- Lawrence Berkeley National Laboratory
- Leibniz
- MASARYK UNIVERSITY
- Masaryk University - Faculty of Arts
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Memorial Sloan-Kettering Cancer Center
- Oslo National Academy of the Arts
- Purdue University
- SUNY
- Texas A&M AgriLife
- The Medicines And Healthcare Products Regulatory Agency;
- The University of Iowa
- The University of Newcastle
- Trinity College Dublin
- University of Alabama at Birmingham
- University of Antwerp
- University of Derby;
- University of Florida
- University of Louisville
- University of Massachusetts Medical School
- University of Miami
- University of New Hampshire – Main Campus
- University of Oklahoma
- University of Oxford
- University of Sydney
- University of Tennessee, Knoxville
- University of Twente
- Vrije Universiteit Brussel
- Yeshiva University
- 55 more »
- « less
-
Field
-
Designing hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledge Advancing causal inference methods to predict transformation products
-
effects from cancer. Design and specify smart mobility technologies and solutions that support active mobility and micro-mobility and can be integrated in the DynamiCity living labs, such as dynamic traffic
-
digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
-
Location: West Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on compressor aerodynamics. You would develop key technologies and designs
-
learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
-
required. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. M.B.B.S., Sc.D., D.V.M.) This position is Onsite. The work is performed on-site or at a designated assignment location. Be Bold. Maintain
-
in peer‑reviewed journals, present at scientific meetings, assist with grant preparation, and independently pursue external funding. Core responsibilities Research: Design, execute, and troubleshoot
-
nutrients with the soil through adaptive root and fungal networks. The successful candidate will design and implement a modelling framework based on Partial Differential Equations (PDEs) to represent
-
implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
-
of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy