Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Universidade de Coimbra
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Nanyang Technological University
- UNIVERSIDAD POLITECNICA DE MADRID
- Aston University
- Heriot Watt University
- Oak Ridge National Laboratory
- ;
- Academic Europe
- Auburn University
- Boston Children's Hospital
- East Carolina University
- George Washington University
- HONG KONG BAPTIST UNIVERSITY
- Istituto Nazionale di Fisica Nucleare
- Kyoto University
- Leibniz
- McGill University
- Michigan State University
- Midlands Graduate School Doctoral Training Partnership
- Newcastle University
- Northeastern University
- SUNY Polytechnic Institute
- The Rockefeller University
- The University of Auckland
- Tohoku University
- UNIVERSITATEA DE MEDICINA SI FARMACIE IULIU HATIEGANU
- University of Northern British Columbia
- University of Oxford
- University of Oxford;
- University of Sheffield
- University of Utah
- 23 more »
- « less
-
Field
-
position involves assisting in the development, deployment, and evaluation of AI-based models and tools for engineering applications. At the end of the project, whole work repository needs to be uploaded in
-
. The project will conduct leading research and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models
-
No. 1 scholarship grant for technological training activities at INFN Structure of Torino for the following research topic: “Device modelling and design of a cryogenic CMOS 28nm Process Design Kit” Where
-
Your Job: Chromatography modeling, while crucial for modern bipporcess development, still heavily relies on empirical determination of key model parameters. By combining protein structure
-
Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
-
Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
-
translational projects employing single-cell sequencing, immune profiling, transgenic models, and molecular biology to uncover pathomechanisms and therapeutic targets in arthritis, osteoporosis, intervertebral
-
for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations
-
position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
-
applications must be submitted by 11:59 p.m. (EST) on the closing date indicated. Additional Instructions to Applicant: Job Close Date: Open Until Filled: Initial Screening Begins: To apply, visit https