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team using the contact information below. The Role We are looking for a Research Officer to support our Quantum and Nanotechnologies Research Centre. The incumbent would be someone who shares our core
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. In-depth knowledge of hemodynamics, particularly in the context of coronary artery disease and cardiovascular flow phenomena. Strong analytical skills and the ability to interpret complex simulation
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only
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for objective, data-driven rehabilitation through predictive analytics. This interdisciplinary PhD project, conducted in collaboration with the Department of Occupational Therapy and Physiotherapy at Sahlgrenska
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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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academic and societal debates. Candidates are invited to submit a two-page research proposal outlining a potential analytical approach for this position. While the scope is not restricted to predefined
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data handling Strong self-initiative and willingness to learn and to quickly gain an understanding of new subject areas Joy in working independently, as well as within a team Strong problem-solving
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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formation under conditions as natural as possible along the gradient. We will measure 13CO2 fluxes in the field and combine these data with the incorporation of the 13C tracer into different SOM fractions