Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
-aware solutions, combining the know-how of computer science and biology in the research environment. We will examine frequent graph pattern mining to detect frequently occurring motifs in PPI networks
-
and AI-based segmentation, with a particular emphasis on inter-vehicle collaboration. The overall goal is to develop robust, scalable methods for detecting and classifying structural anomalies (e.g
-
shared zebrafish facility. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The start date is 1 November
-
of personal background and orientation, is encouraged to apply for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find
-
will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed
-
questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as
-
work tasks The applications and communication scenarios in 6G will be challenging due to stringent requirements in terms of latency, reliability, privacy, and efficiency. Furthermore, 6G networks
-
measured data, apply necessary filtering and selection of data features to be stored. Couple the numerical model and the measured input data to establish a model that can predict the outcome in terms
-
have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend
-
powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design