Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
-
systems transforming towards personalized medicine. We have a clear focus on the needs in the life science- and biotech industries and point towards innovation, new businesses, and scientific services
-
the needs in the life science- and biotech industries and point towards innovation, new businesses, and scientific services for the benefit of society. The department has extensive collaborations with
-
to the school’s core business activities. The department’s research and teaching environment is highly international and culturally diverse with a mix of Danish and international academic staff members and PhD
-
motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale In the field “Please indicate which position(s) you
-
the Loft group is particularly focused on understanding how the adipose tissue serves as a critical signaling hub in the context of metabolic diseases, such as MASLD and cardiovascular diseases. For this, we
-
for physiological signal recording. An ability to work independently and collaboratively across disciplines will be essential. Excellent communication skills in English, both written and spoken, are required, and
-
thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
-
signal processing, with experience in machine learning, deep learning, or AI methods. Familiarity with semantic segmentation, anomaly detection, or pattern recognition techniques is highly valued. Sensor
-
maintenance (O&M) practices for wind turbines, with a focus on fault types that degrade turbine and plant-level power performance. Identifying key signals or performance indicators related to asset health and