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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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, methods and required infrastructure or other resources, as well as the current status and planned timetable of the research. If the research plan exceeds the maximum length, the application will not be
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of research (see Responsible Conduct of Research (RCR) | Finnish National Board on Research Integrity TENK ). The research plans can be checked with the Turnitin OriginalityCheck plagiarism detection software
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large
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traits – and link these traits to epigenomic variation profiled via whole genome bisulfite sequencing. The candidate will also have the opportunity to explore advanced pangenome-based methods to probe
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). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants must hold a PhD (candidates who are in the final stages of completing their doctoral
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must hold a PhD (candidates who are in the final stages of completing their doctoral dissertation may also be considered), demonstrate the ability to conduct independent research, and have prior
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PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral Researcher’s position, the appointee is expected to have
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to tackle a challenging project. • high interest in learning structural biology methods (comprehensive cryo-EM training will be provided), previous experience is beneficial. • prior experience in