At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. Its
At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. Its
At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. Its
CAREER IN MICROTECHNOLOGY RESEARCH – BIG OPPORTUNITIES WITH SMALL STRUCTURES! CHANGE STARTS WITH US. Do you want to change the world through science? Then the Fraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT is
At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. Its
At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. Its
At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. Its
At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. Its
The Role The Applied Machine Learning Engineer will be a member of Terra Quantums AI Applied Research team. This team builds and delivers end-to-end machine learning solutions for industrial clients across time series forecasting, optimisation, computer vision,
TU-ID: 130 | 2026 | 15 | University Professor (all genders) Specialist field of Dynamics on Surfaces TU Wien is Austrias largest institution of research and higher education in the fields of technology and natural sciences.