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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi
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). The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial
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engineering, nursing, computer science, data science, or related field Strong analytical and programming skills Excellent written and oral communication abilities Experience with one or more of: machine
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a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should
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or Biomedical sciences (preferably with insight in sustainability aspects of nutrition) with specialization or additional training in data science or strong background in Data Science, computer science with a
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novel proteins/antibodies and explore their biomedical applications. Our goal is to utilize these engineered proteins to precisely regulate intracellular signaling pathways, eventually translating
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(or biomedical PhD with strong computational skills). Fluency in modern AI/ML and emerging paradigms (agents, explainability). Track record of computational solutions to biological problems. Clear communicator
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. 6.1.3 - Criteria for the evaluation of the activities of program management for science, technology, and innovation, or experience in observing and monitoring the scientific and technological system or in