Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Netherlands
- France
- Norway
- Denmark
- Spain
- United Kingdom
- Austria
- Poland
- Belgium
- Switzerland
- Portugal
- Luxembourg
- China
- Czech
- Finland
- Singapore
- Canada
- Ireland
- Italy
- Saudi Arabia
- Brazil
- Cyprus
- Lithuania
- Romania
- Slovenia
- Hong Kong
- Morocco
- United Arab Emirates
- Andorra
- Bulgaria
- Estonia
- Greece
- Japan
- Taiwan
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Chemistry
- Materials Science
- Mathematics
- Earth Sciences
- Environment
- Psychology
- Linguistics
- Physics
- Electrical Engineering
- Arts and Literature
- Business
- Humanities
- Education
- Law
- Design
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
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
-
large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict
-
communicated to practitioners through LTU’s established competence networks. Duties As a PhD student, you will perform both experimental and theoretical work. You will learn how to collect and analyze scientific
-
science approach and aims to use Machine Learning and Social Network Analysis methodology to 1. analyze the current and developing opinions of new clean energy technology among the Curaçao population and
-
and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
-
in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
-
scientific machine learning, knowledge of atmospheric dynamics, new observations, and close connections with national meteorological services, as well as several leading weather forecasting centers and tech
-
with experience in data-intensive research, machine learning, and artificial intelligence are especially encouraged to apply. About the Department: The Department of Physics hosts active research groups
-
willing to explore the links between Algorithm Design and Machine Learning Specific Requirements Physical presence is required (remote work impossible) LanguagesFRENCHLevelGood Research
-
allow users to input CDR forcing (e.g., alkalinity addition) and produce day-by-day forecasts of CO2 uptake and storage durability. The project combines physics-based modeling, machine learning, and high