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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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advanced image segmentation methods to join our imaging research group and project “Natural Heritage 3D”. This collaborative project between Visual Computing @ DTU Compute, DTU Physics, Copenhagen
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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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coastal and/or open waters Very good skills in scientific coding and related analyzing tools (e.g., R, Phyton, MatLab) Publications in high-ranking journals Good collaboration skills and ability to work in
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considered an advantage. Strong profile and background in evolutionary genetics, genomics, population genetics, bioinformatics. Extensive experience in bioinformatic analyses, coding and development of
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platforms like Kubernetes. Participating in the full feature lifecycle, from requirements gathering and architectural design to coding, automated testing, deployment, and ongoing monitoring of production
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-sheet microscopy of zebrafish embryos and image analysis. Experience with genetic engineering (plasmid construction and transfection). Experience in working with zebrafish or other animal models
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design and image editing (e.g. Figma, Adobe or similar), Basic HTML/CSS You do not need to know everything above. Curiosity and a good eye for design matter more. What we offer Highly relevant practical
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collection, data management and analysis (under supervision) performing research tasks within the area of classical archaeology, e.g. literature searches and image processing supporting processes in
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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