Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Portugal
- Germany
- Sweden
- Netherlands
- Norway
- Spain
- Denmark
- Belgium
- Italy
- Singapore
- Australia
- Ireland
- Morocco
- Finland
- Luxembourg
- Switzerland
- Czech
- Poland
- Canada
- China
- Austria
- Japan
- Estonia
- Hong Kong
- Brazil
- United Arab Emirates
- Vietnam
- Andorra
- Macau
- Malta
- Saudi Arabia
- Slovakia
- Barbados
- Bulgaria
- Iceland
- Latvia
- Slovenia
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Business
- Environment
- Humanities
- Psychology
- Law
- Linguistics
- Arts and Literature
- Physics
- Social Sciences
- Electrical Engineering
- Sports and Recreation
- Education
- Design
- Philosophy
- 14 more »
- « less
-
, RNAseq, serum proteome, WSI), incorporating the clinical data, primarily for the identification of biomarkers that predict response to treatment. The spatial studies will be a key focus, but integration
-
dataset generation technique to optimize the training of neural networks (NNs) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and
-
. The programme will explore the biodiversity and biological adaptations of plants, animals and microorganisms to extreme mountain environments, while developing new genomic tools and predictive models
-
using methods such as Dynamic Mode Decomposition with control (DMDc). You will also assist in the development of predictive control approaches based on reduced-order models, and contribute to workflow
-
exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models
-
purely correlational analyses and to develop predictive models with operational relevance. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8212-DAVFAR-008/Candidater.aspx Requirements
-
spectroscopy, especially applied to the analysis of lipids or oils. Experience in the application of chemometrics to develop predictive models Participation in competitive research projects related to the field
-
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
-
award to Dr Darren Fayne “Mapping the human pocketome - using pharmacophores to enable drug discovery applications”. This project will model the 3D structure of all human proteins, identify plausible
-
and mass spectra using quantum chemistry and related methodologies. - Create AI/ML models for high-fidelity prediction of the infrared and mass spectra and validate their use in matching experimentally