Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- France
- Germany
- Norway
- Denmark
- United Kingdom
- Spain
- Austria
- Poland
- Belgium
- Switzerland
- Portugal
- China
- Luxembourg
- Finland
- Ireland
- Brazil
- Canada
- Morocco
- Saudi Arabia
- Singapore
- United Arab Emirates
- Czech
- Lithuania
- Australia
- Hong Kong
- Italy
- Japan
- Slovenia
- Andorra
- Bulgaria
- Cyprus
- Estonia
- Greece
- Romania
- South Africa
- Taiwan
- 29 more »
- « less
-
Program
-
Field
-
, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
-
from varied sources, and machine learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with
-
: https://academicpositions.harvard.edu/postings/14695 Applications accepted through March 3rd. Share this post: Tags: Teaching Opportunity , Unique Postdoc Opportunity Return to blog Categories
-
, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
-
Toggle navigation Your VUSM Current Students Postdocs Residents Basic Sciences Faculty Affairs Clinical Faculty Affairs Alumni Patients A-Z Directory VUSM Catalog School of Medicine Vanderbilt
-
intelligence and machine learning systems Department/Program & College Description: CTRE performs transportation-related research, outreach, and educational activities in four major areas: safety, asset
-
subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
-
hardware Experience with atomic layer deposition and process development Experience with thin film and materials characterization Strong background in computational materials science and machine learning
-
comparable qualification) in a relevant discipline (computer science, mathematics, AI) Expertise in one or multiple of the following areas: Deep Learning, Computer Vision, Signal Processing (Synthetic Aperture