Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
-
at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 18 June 2025 (23:59 Danish time). Applications must be submitted as one PDF file
-
dynamic and growing department committed to excellence in research, education, and innovation. Our research spans signal processing, machine learning, digital twins, and intelligent systems — all with a
-
to excellence in research, education, and innovation. Our research spans Internet of things, machine learning, signal processing, to digital twins, all with a strong emphasis on high impact research and societal
-
receptors and downstream signaling pathway components. The candidate is expected to be able to work independently and to supervise students in the group. Experience with protein purification, bacterial
-
skills and problem-solving mind-sets. It is desirable that the candidates have strong knowledge in at least one of the following research directions: 1) array signal processing 2) Radio channel sounding
-
to developing software solutions for data collection, signal processing (e.g., drift correction) and visualization. Ultimately, the goal is to demonstrate the prototype at the seabed. The candidate is expected
-
HPMC designs and manufacturing processes hinder renewable energy adoption and efficient electricity consumption. GreenMag plans to deliver next-generation HPMCs that are 50% smaller, 25% cheaper, and 40
-
of Electrical and Computer Engineering (ECE) at Aarhus University, a dynamic and growing department committed to excellence in research, education, and innovation. This position is anchored within the Signal
-
and neurophysiology(EMG/EEG). You have extensive data processing experience(Python, Matlab or other platforms), being able to independently conduct complex signal processing and machine learning