Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- United Arab Emirates
- Canada
- Norway
- Netherlands
- Finland
- Belgium
- Spain
- Denmark
- Switzerland
- Poland
- China
- Morocco
- Vietnam
- Hong Kong
- Ireland
- Luxembourg
- Singapore
- Japan
- Saudi Arabia
- Australia
- Austria
- Portugal
- Taiwan
- Czech
- Italy
- Brazil
- Greece
- Lithuania
- Andorra
- Cyprus
- Kyrgyzstan
- Romania
- Russia
- Slovenia
- South Africa
- Hungary
- India
- New Zealand
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Environment
- Earth Sciences
- Education
- Social Sciences
- Materials Science
- Physics
- Electrical Engineering
- Humanities
- Business
- Law
- Arts and Literature
- Linguistics
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data
-
dependable large-scale software systems, integrating expertise in: Software Engineering Machine Learning & MLOps Robotics & Cyber-Physical Systems Cloud & HPC ecosystems Interdisciplinary research. As a
-
Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field and want to join the mission of unlocking the “geometry of artificial intelligence” then come join us! Join us
-
engineering, precision agriculture, data science, machine learning, automated systems, or a closely related field Have experience working with ruminants Have experience in precision agriculture and/or precision
-
discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
-
techniques are oftentimes needed to correctly describe correlated electronic systems. In recent years, electronic structure methods have been coupled to machine learning to accelerate predictions and for
-
Experience in machine learning, math, and programming. LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers available1Company/InstituteUniverCountryBrazilState
-
will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
-
. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key Responsibilities Research