Sort by
Refine Your Search
-
genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
-
Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
postdoctoral researcher, will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate HCFs with desired geometrical parameters for an extended
-
optimization and validation and in addition, we aim to discover novel VHHs capable of crossing the blood-CSF barrier and delivering therapeutic cargoes to the brain. You will become an integral member of a
-
improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
-
. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
-
immunohistochemistry. Flow cytometry and cell sorting. High-throughput screening approaches. Development or optimization of molecular methods. Postdoctoral scholarships may be established for foreign researchers who
-
research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
-
Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
-
finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
-
learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research