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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at Aalto University
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contribute to cutting-edge research spanning fundamental T cell biology, cancer immunotherapy, and immune-based cancer prevention strategies. The postholder will investigate how cancer cells manipulate local
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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the School of Biosciences. We are highly encouraging of collaborative interactions between groups. Role Summary Applicants will have a PhD in Biochemistry, Protein Engineering, Structural Biology or Synthetic
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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling