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, transcriptomics, proteomics, metabolomics) for biomarker discovery and validation. Knowledge, Skills and Attitudes: Statistical Analysis (Expert): Expertise in causal inference, machine learning, and Baysian
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intelligence, including reinforcement learning, computer vision, and deep neural networks applied to robotics. Track record of peer-reviewed publications and active participation in interdisciplinary research
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thinking skills. Competence in data analysis and visualization using software such as GraphPad Prism, R, or Python. Excellent scientific writing and communication skills, with a track record of peer-reviewed
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collaborative, respectful, and welcoming lab environment 4. Keep track of data, protocols and overall progress in updated laboratory notebooks and data folders’ 5. Communicate and meet frequently with
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, with the ability to work independently and collaboratively in a multidisciplinary environment. Excellent communication skills, both written and oral, with a proven track record of publications in peer