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One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Apply Vacant position One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Aalborg Deadline
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imaging (MSI) is increasingly used to investigate how environmental stressors and micropollutants affect biological systems across space and time. However, data processing, image segmentation, multimodal
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include a github link or proof of coding proficiency. Detailed CV, including personal contact information and date entries Copies of certificates and diplomas (BSc, MSc, and PhD degrees) The names and
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qualifications for the project in question (max two pages). It is strongly encouraged that you include a github link or proof of coding proficiency. Detailed CV, including personal contact information
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within the following areas: Molecular research focusing on non-coding RNAs and EVs. It will be beneficial it you possess bioinformatics/computational skills and strong scientific writing skills. As a
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surface dynamics Develop and apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between 3D atomic structure, dynamics and catalytic functions of
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acquisition, equipment construction, machine learning, and image analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your
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learning, or digital methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and
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embodied experiences such as craving, loss of control, withdrawal, and recovery processes. Contributing to recruitment of participants in alcohol treatment. Participating in data analysis (coding and
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microscopy techniques, including image analysis Experience with peripheral tissue handling (ex: spleen, blood, gut) is a plus Experience in flow cytometry and/or transcriptomic techniques are not necessary