Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- AbbVie
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National University of Singapore
- Singapore Institute of Technology
- University of British Columbia
- Nature Careers
- University of Oslo
- University of South-Eastern Norway
- Carnegie Mellon University
- Ryerson University
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Bergen
- University of Waterloo
- City of Hope
- Dana-Farber Cancer Institute
- GEORGETOWN UNIVERSITY
- Georgetown University
- Johns Hopkins University
- La Trobe University
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Marquette University
- Medical College of Wisconsin
- Monash University
- Paul Scherrer Institut Villigen
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Alabama
- Tufts University
- Universidade de Aveiro
- University College Cork
- University of Agder
- University of Canterbury
- University of Colorado
- University of Exeter
- University of Kansas Medical Center
- University of Liverpool
- University of Stavanger
- University of Texas at Austin
- 29 more »
- « less
-
Field
-
using advanced techniques like small-angle neutron scattering SANS and flow-induced polarized-light imaging (birefringence) Develop a novel experimental and simulation framework to explain, model, and
-
green transition. About the project/work tasks: The overall goal of this PhD project is to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on
-
a Horizon Europe funded research project which launched in March 2025 and is coordinated by Utrecht University. It brings together 24 partners from a wide-range of disciplines in future climate model
-
Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
-
will develop a novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate
-
optimization. Focus on AI-assisted secure IC design, with domain adapted LLM, ML in front-end design, simulation tools for chiplet-based/oriented prototypes Investigate and apply AI principles for IC design, RTL
-
our team focused on advancing kidney gene therapy. The project integrates in vitro, ex vivo, and in vivo experimental approaches using both porcine and human models. Appointment Details · Start
-
Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
-
the harnessing and optimizing of T cell function for cancer immunotherapy using genetically modified mouse models, flow cytometry, q-PCR, RNA-seq, western blot, single cell RNA seq, bioinformatics, and
-
model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised