Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
learning-based detection Multi-camera-multi-object tracking using fisheye cameras Deployment of deep learning-based solutions Familiarity with the agricultural domain Furthermore, the successful candidate is
-
the fishing and fishing gear industries. Key Responsibilities The project involves developing and implementing deep learning models for species detection, classification, and length estimation from EM video
-
Social Data Science, Computer Science or related areas. Besides showing experience with machine learning, including deep learning, the candidate should be able to demonstrate knowledge about human
-
intelligence, particularly deep-learning based simulation models, can help research and business practice better understand international business activities OR (iii) the means by which machine learning
-
, you will drive the development of an integrated AI system for aerial robots. Our work departs from conventional mapping and exhaustive planning by fusing end-to-end deep learning for localization
-
interconnected challenges and conditions a) TCR diversity, b) limited quality and quantity of data biased towards a few well-studied epitopes and c) lack of Deep Learning (DL) tools tailored specifically
-
postulate, is due to three interconnected challenges and conditions a) TCR diversity, b) limited quality and quantity of data biased towards a few well-studied epitopes and c) lack of Deep Learning (DL) tools
-
Business School are available at www.cbs.dk/en . Closing date: 1 June 2025. Apply online CBS is a globally recognised business school with deep roots in the Nordic socio-economic model. Our faculty has a
-
application deadline. Details about Copenhagen Business School are available at www.cbs.dk/en . Closing date: 1 June 2025. Apply online CBS is a globally recognised business school with deep roots in the Nordic