61 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Technical University of Denmark
Sort by
Refine Your Search
-
with multiple partners at other universities and the industry. You can look forward to being part of a welcoming environment where we share the belief that open minded collaboration is the way forward if you want
-
tasks will be: Engage in research in Greenland for the benefit of Greenlandic society. Conduct multiple fieldworks in Greenland in fall 2025 and spring/summer/fall 2026 to sample and analyze common
-
term, our microcoil based implant can be used to treat many illnesses associated with the brain and beyond. We also believe our technology can be used for other neurological illnesses that benefit from
-
Engineering of Additive Manufactured Metals—MicroAM’. The MicroAM project aims to develop (i) a laboratory-based X-ray microscope capable of mapping local residual stresses, (ii) a multi-scale AM process
-
communication skills in English. The following qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and
-
wastewater discharge. WaterGreen, the newly funded IFD Grand Solution project, aims to transform biogas plants’ process water into ultrapure water for green hydrogen production while recovering valuable
-
Researcher to join the ERC-funded MAGNIFY project, led by Dr. Victoria Antoci. This project explores the effects of magnetic fields on stellar structure and mixing processes within stars. It focuses
-
microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five countries and four
-
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
-
digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course