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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for an experienced Machine Learning Expert to establish and run a
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extraction to support discovery. Collaborate with researchers to identify opportunities where generative AI and LLMs can accelerate scientific progress. Work with the Head of the Machine Learning Expertise
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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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is a plus Knowledge of network environments is an asset Key personal characteristics Structured and detail-oriented Eager to learn and able to persevere when facing technical challenges Communicative
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submissions and capture lessons learned. Infrastructure & Facilities: Map & asses testing capabilities in Flanders. Conduct gap analyses to identify missing infrastructure and propose solutions to strengthen
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, issues, and mitigating actions. Actively identify risks early and ensure they are addressed and escalated when needed. Follow up on issues until resolution and ensure lessons learned are captured
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submissions and capture lessons learned. Infrastructure & Facilities: Map & asses testing capabilities in Flanders. Conduct gap analyses to identify missing infrastructure and propose solutions to strengthen
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communication skills and ability to train others. Independent, proactive and eager to learn in a fast-evolving environment. Comfortable working in an international setting: fluent in English We offer Open-ended
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working in a dynamic and fast-paced environment Good knowledge of Excel, Word and Powerpoint Good command of spoken and written English Patient, resilient, and eager to learn new techniques and take on