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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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deep-dive research into the security of GenAI, in particular quantum-secure, federated GenAI framework. You will join an elite, interdisciplinary team, collaborating closely with leading academic experts
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international collaborations in multi-disciplinary research ranging from the development of data analysis and machine learning methods to applications in omics research. Researchers in Finland have access
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including high-impact scientific publishing, and collaborative research with international teams. Who we are looking for Requirements MSc degree in Computer Science, Data Science, Machine Learning, or a
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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with
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research experience in immunology, vascular biology, and/or cancer biology Ability to work both independently and collaboratively Excellent written and spoken English skills A strong scientific publication
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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together with research group members and collaborators in data analysis and management, as well as producing scientific outputs • Contributing to preparing funding applications What we offer The support