Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
development of an interdisciplinary research program. Job description PhD candidates will contribute to both independent and collaborative research activities and will have the opportunity to: Lead and co
-
industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
-
founded by Innosuisse and the project is in close collaboration with an industrial partner. Profile Applicants for the position are expected to have earned a PhD in heterogeneous catalysis with documented
-
Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
-
plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
-
, documentation, and experimental implementation Profile PhD in Mechatronics, Robotics, Electronics, or related engineering areas Proficiency in mechanical design, embedded systems, and hardware-software
-
outcomes. Curious? So are we. We look forward to receiving your online application with the following documents: PhD certificate CV Publication list with a clear statement on own contribution 2-page proposal
-
approaches. Profile PhD in biochemistry, analytical chemistry or related fields, with at least 3 years demonstrated practical experience in proteomics sample preparation, LC-MS/MS and data analysis and data
-
(ARE). Profile The successful candidate for this PhD position will have a Master’s degree in spatial planning, urban analytics, transport planning, artificial intelligence or a related field, and will have
-
broader research agenda focused on how digital infrastructure and computational tools can support (or hinder) progress toward effective, coordinated, and equitable biodiversity governance. Research topics