Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
-
robotic systems (e.g., ABB, KUKA, or UR). You have practical experience with machine development, material testing, mechanical characterization, or process parameter optimization. Furthermore, it is an
-
and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your
-
languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred
-
. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation
-
ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
-
society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future
-
needed to achieve these temperatures, the control cables connecting to the qubits are often more than 2 meters long. At the same time, a quantum computer powerful enough to solve problems beyond the reach
-
, materials, quantum technology and biophysics. Our focus is both to acquire greater knowledge about basic scientific problems and to conduct research oriented towards use in societies and companies. Technology
-
your research results in peer-review scientific publications and international conferences Disseminate your results through public engagement and social media Teach and supervise MSc and BSc students as