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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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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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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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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
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them into one PDF file. Zip files, image files (jpg, png, etc.), and password-protected PDF files will not be accepted. All PDF files must be unlocked to allow binding. Applications received after the
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behavioural testing Postmortem neuroanatomical methods: brain tissue processing and histology Different advanced imaging and microscopy techniques, including image analysis Experience with peripheral tissue
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place of work is Paleoceanography and Paleoclimate Group, Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, DK-8000 Aarhus C, Denmark: https://geo.au.dk/paleo Contact information
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development and scientific publication. Who we are The Department of Ecoscience (https://ecos.au.dk/en/) is organised under the Faculty of Technical Sciences. The department’s research areas cover most
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that include collaboration partners from both academia and industry. Further information For information about the CAPE research center, please see https://www.sdu.dk/en/forskning/cape For