Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Chemistry
- Mathematics
- Psychology
- Science
- Business
- Materials Science
- Earth Sciences
- Humanities
- Social Sciences
- Linguistics
- Electrical Engineering
- Law
- Arts and Literature
- Environment
- Philosophy
- Physics
- Education
- Sports and Recreation
- 13 more »
- « less
-
models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
-
, project collaboration, and academic dissemination. This position is integrally linked to the EU-LIFE project "Forests Fit 4 Future", which promotes resilient forest ecosystems adapted to climate change
-
(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
-
. For more information about CBMR, please visit our website . Research projects open for applications The eight research projects and their corresponding Principal Investigators are listed below. More
-
all qualified individuals to apply for the position, regardless of personal background. Application and Additional Information Apply by following the link below including a CV, a half-page motivational
-
the product from an early prototype to a scalable and sustainable digital product. You will link vision and technology and have considerable influence on the product’s direction, architecture and values. Your
-
to help form and support the strategies of the Department of Sports and Clinical Biomechanics, including the future research strategies of the Research Unit. For information on job description of associate
-
the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
-
. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between