Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- France
- Netherlands
- Denmark
- Spain
- Austria
- United Kingdom
- Belgium
- Luxembourg
- Poland
- China
- Portugal
- Singapore
- Canada
- Finland
- Switzerland
- Czech
- Italy
- Romania
- Saudi Arabia
- Cyprus
- Ireland
- Lithuania
- Worldwide
- Slovenia
- United Arab Emirates
- Andorra
- Brazil
- Bulgaria
- Hong Kong
- Japan
- Latvia
- Taiwan
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Mathematics
- Chemistry
- Humanities
- Materials Science
- Linguistics
- Earth Sciences
- Education
- Psychology
- Environment
- Physics
- Electrical Engineering
- Law
- Arts and Literature
- Business
- Design
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
-
at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
-
theory, and learning theory to design efficient and robust decentralized AI systems. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a
-
, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
-
to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
-
consideration will be made to candidates with experience in automation or machine learning. The postdoc will join a group which is focused on pioneering applications of modern machine learning methods, FAIR data
-
, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
-
UnitedKingdomTime) Position Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department
-
automated configuration mechanisms based on fingerprinting and machine learning to ensure traffic analysis remains faithful to the behavior of the monitored machines. Finally, you will validate your solutions
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and