Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Portugal
- Sweden
- Singapore
- United Kingdom
- Spain
- Belgium
- Italy
- Denmark
- Netherlands
- Norway
- Canada
- Poland
- Hong Kong
- Morocco
- Switzerland
- Czech
- Austria
- Luxembourg
- United Arab Emirates
- Australia
- Japan
- Finland
- China
- Ireland
- Brazil
- Greece
- Worldwide
- Cyprus
- Slovakia
- Croatia
- Lithuania
- Romania
- Mexico
- Slovenia
- New Zealand
- Saudi Arabia
- Estonia
- Malta
- Vietnam
- Andorra
- Armenia
- Bangladesh
- Bulgaria
- India
- South Africa
- Taiwan
- Uzbekistan
- 40 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Biology
- Business
- Science
- Materials Science
- Chemistry
- Mathematics
- Education
- Arts and Literature
- Electrical Engineering
- Psychology
- Philosophy
- Social Sciences
- Environment
- Law
- Humanities
- Linguistics
- Earth Sciences
- Sports and Recreation
- Design
- Physics
- Statistics
- 15 more »
- « less
-
. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a strong background in this area, as well as a genuine interest in continuing such work
-
dedicated to soft robotics and advanced robotic systems within the DEXTER team at LIRMM in Montpellier, France. He or she will actively contribute to the design, fabrication, evaluation, and optimization
-
. The successful applicant will develop a predictive pipeline using atomistic modeling and machine learning to identify optimal "seeds" for directing crystal growth, followed by rigorous experimental testing
-
at conferences, and collaborating with researchers from other institutions. The work will be interdisciplinary, at the intersection of online learning, algorithmic game theory, and optimization, with a focus on
-
Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 10 days ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: To optimally use the resources in veterinary care, it is important to capture, preprocess, and model the existing data
-
hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
-
candidate for the UPC-2 research project "Multi-agent multi-objective agent-based modelling for automatic distributed optimization of cellular networks" at the Universitat Politècnica de Catalunya (UPC
-
prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
-
development, disease mechanism studies, and therapeutic antibody research Establish, optimize and oversee integrated development platforms and workflows covering antigen design, monoclonal and recombinant
-
approaches to optimize the optical response of one-dimensional photonic crystal multilayers. Such systems will be designed to support Bloch surface waves in the frame of high-sensitivity sensing applications