Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
and high-performance computing resources. The positions are part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
-
1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate gene regulatory
-
cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea
-
ecological communities reassemble under extreme and unprecedented disturbance regimes. A core goal is to identify the key traits that govern colonization, stress tolerance, and ecosystem functioning in post
-
regulation, or aging biology Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance
-
of the chemicals on droplet stability. You will be responsible for the following: Implementing AI imaging to analyze high-speed droplet movies. Relating the results to the HLD principle and performing its parameter
-
that demonstrate the ability or potential to produce high quality research outputs and publish in international journals A personal research plan which is consistent with the Department of Communication and
-
candidate has experience with two or more of the following points. Reactor operation (lab- or pilot-scale) Operation and maintenance of control systems and sensors Proficiency in process modelling and