Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Netherlands
- Germany
- Norway
- Denmark
- Spain
- France
- Australia
- Belgium
- United Arab Emirates
- Austria
- China
- Switzerland
- Portugal
- Hong Kong
- Luxembourg
- Singapore
- Canada
- Finland
- Poland
- Morocco
- Czech
- Greece
- Italy
- Vietnam
- Brazil
- Cyprus
- Estonia
- Saudi Arabia
- Japan
- Latvia
- New Zealand
- Taiwan
- Worldwide
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Earth Sciences
- Environment
- Psychology
- Education
- Materials Science
- Business
- Chemistry
- Humanities
- Social Sciences
- Electrical Engineering
- Arts and Literature
- Linguistics
- Physics
- Law
- Sports and Recreation
- 12 more »
- « less
-
FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
-
statistics, and statistical programming packages. May utilize artificial intelligence and/or machine learning techniques/methods. Data Management Focuses on ensuring the efficient and secure handling of data
-
. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
-
new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records
-
have an interest in quality news and AI-based chatbots. We expect: A Master’s degree in either computer engineering or computer science/data science. Experience with AI, Large Language Models, RAG, data
-
, Oslo. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/291053/phd-research-fellow-in-mathematics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
-
, particularly integer programming, e.g., vehicle routing and packing problems and heuristics; simulation; data-driven modelling; decision support systems; AI (reinforcement learning, machine learning). Motivation
-
research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data
-
). Familiarity with machine learning techniques, particularly LSTMs or other deep learning architectures. Experience with large datasets, geospatial analysis, or database development. Knowledge of ecological flows
-
for use by the research and lay communities worldwide with access through computer query protocols and user-friendly interfaces. NED provides data for more than 1.1 billion objects and is growing rapidly