Sort by
Refine Your Search
-
approaches. What we ask of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow
-
Natural Language Processing, Language Models, Information Retrieval, Deep Neural Networks, Computer Science, or related discipline; Proven affinity and/or experience with LLMs; Willing to work both at
-
of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow based generative
-
to ESA’s strategy; a wide network of relationships and collaboration with top academia, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
-
interpretable, reliable, and scalable ML methods, neural quantum states, understanding the simplicity bias of overparameterized neural networks, or applying them to quantum systems, such as ultracold quantum
-
based on pathology or dysregulated cell biology. WP1. To generate well-defined iPSC and differentiate into neural cells that can be used for FTD and PD(D)/DLB subtype-tailored compound testing. WP2