53 algorithm-development-"Prof"-"Prof" uni jobs at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
, and we will train you to take part in radiochemical analysis for environmental radioactivity monitoring. Radiochemical analysis plays important roles in many of the department’s projects. Our
-
Agency Technology Broker Denmark (ESA TB DK) is looking for a Business Analyst (MSc student or recent graduate) with a keen interest in deep tech innovation and technology driven business development to
-
integration to develop high-efficiency and high-power-density converters. Developing integrated magnetics technologies for micro-inductors and micro-transformers used in monolithic power converters. Leading and
-
omics datasets, including genomics, transcriptomics, proteomics, and metabolomics. Process and visualize high-throughput data, including NGS outputs. Contribute to developing computational tools, methods
-
Job Description We are looking for an experienced automation scientist to join the Biofoundry in the Adaptive Laboratory Evolution team. The job You will be responsible for day-to-day operation and
-
circular water reuse. To advance this innovation, we are seeking an ambitious Postdoctoral Researcher to lead research and development in the PEM electrolyzer domain, focusing on integrating MD-produced
-
Job Description At DTU Nanolab, we are expanding our activities within micro- and nanofabrication and therefore need more technicians/service engineers to join us in the development of the technical
-
bold ideas into real businesses in the growing space economy. That means we support companies in many industries (like AI, Cyber Security, 3D printing and Manufacturing) and help them develop new
-
processes. Responsibilities and qualifications As Associate Professor or Tenure Track Assistant Professor, you will contribute to developing technologies that support carbon neutrality, resource efficiency
-
group focusing on the development and application of advanced proteomics, multi-omics, and computational strategies to explore cellular heterogeneity across both healthy and diseased stem-cell hierarchies