-
methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a
-
efficient algorithms for large-scale stochastic systems Integrating data-driven methods for model estimation, learning, and validation Collaborating with interdisciplinary partners in healthcare and data
-
energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
-
reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
-
. Friesecke. Appointments are initially for one year, and are renewable for a further two years. Main research themes in our group are analysis and algorithm design in electronic structure theory (especially
-
, and adult cardiac editing • Molecular analysis of editing efficiency (PCR, qPCR, sequencing) • Tissue distribution and expression analysis • Contribution to translational studies in porcine cardiac
-
algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable future. These EMS
-
to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM HN Team
-
learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable future
-
responsibilities The Head of Unit will be responsible for the distribution of the tasks in the Unit, and oversee and support their execution: Provide mandatory introductory AI courses for new researchers in