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|2025/795 under the scope of the Project Machine Unlearning in Speech Foundation Models: Learning to Forget (LeaF), Refª 2024.14611.CMU , funded Fundação para a Ciência e a Tecnologia, I.P., is now
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
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experience in vision related problems and experience in deep learning (preferably using PyTorch). We are open to discussing flexible working arrangements. To explore the post further or for any queries you may
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resulting from academic degree recognition processes. Preferred factors: In-depth knowledge in Deep Learning and LLMs: Practice with Deep Learning architectures, and in particular, with Large Language Models
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techniques, methods, and research, especially deep learning literature, and how these methods apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and
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aim to derive quantifiable and interpretable metrics that capture shifts in gaze patterns across different weather scenarios. To extend this analysis toward prediction, we will incorporate deep learning
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of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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, involvement in key projects the Executive Leadership Team is implementing, and finally a 'deep dive' into an area of specific interest of the fellow. The fellow will participate in internal leadership