Sort by
Refine Your Search
-
developing and maturing high-risk, high-reward avionics solutions. Job description As part of the specialized resource pool, you will provide avionics engineering expertise across multiple space research
-
, we plan to study atmosphere/ocean interactions at multiple spatial resolutions, and investigate consequences for tropical cyclones, clouds and precipitation and how they depend on spatial resolution
-
(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel
-
of gas sensor devices, both in the lab and in the field. Applicants are encouraged to explore and benchmark multiple deposition routes (including flame aerosol deposition, aerosol jet printing, inkjet
-
of complex cellular systems across multiple biological scales. Project background Cells are mechanically heterogeneous systems composed of proteins, membranes, and compartments with distinct physical
-
), biocompatibility testing, sterilization processes, and design history file completeness. Coordinate with external quality and regulatory consultants to ensure alignment across stakeholders. Profile PhD in Chemistry
-
, and evaluation of coupling conditions (cemented vs clamped installations). Supporting simplified sensor calibration workflows inspired by our ongoing high-frequency research: aligning overlapping PSDs
-
the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
-
advanced deep learning models: Design and implement a multi-branch neural network capable of integrating multiple data modalities into a unified representation. Implement a multi-task learning framework
-
online calibration framework that leverages deep learning to intelligently fuse data from multiple sensors (IMU, cameras, eye-trackers) By training models on a high-fidelity digital twin and exploring