Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- Germany
- France
- Norway
- Denmark
- United Kingdom
- Spain
- Austria
- Belgium
- Poland
- Switzerland
- Portugal
- China
- Czech
- Luxembourg
- Ireland
- Singapore
- Canada
- Finland
- Saudi Arabia
- Lithuania
- Morocco
- United Arab Emirates
- Australia
- Brazil
- Cyprus
- Hong Kong
- Italy
- Japan
- Romania
- Slovenia
- Andorra
- Bulgaria
- Estonia
- Greece
- Taiwan
- 28 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Science
- Biology
- Engineering
- Economics
- Chemistry
- Materials Science
- Mathematics
- Earth Sciences
- Environment
- Linguistics
- Psychology
- Electrical Engineering
- Humanities
- Arts and Literature
- Business
- Physics
- Education
- Law
- Design
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We expect you to be able
-
Malmsten) whom together with additional professors within COMMONS will guide the projects and the training of the recruited postdocs towards leading academic or industrial research positions. This post
-
Python Arduino and C++ (Physical Computing) Creation of interactive objects and components Machine Learning and Natural Language Processing Specific Requirements Candidates must hold a PhD in engineering
-
Cornell University, School of Chemical and Biomolecular Engineering Position ID: Cornell-ChemE-POSTDOC [#30598, WDR-00055411] Position Title: Position Type: Postdoctoral Position Location: Ithaca
-
of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in
-
research teams that include faculty, graduate students, and undergraduate students. One student’s research used machine learning to solve physics problems, while another’s helped create a data science
-
in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should
-
competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in
-
by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
-
, and data analysis. Communicates effectively in English, both orally and in writing. Is motivated, collaborative, detail-oriented, and curious to learn. Is interested in mentoring or collaborating with