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Field
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-development position for junior researchers, we primarily seek candidates who obtained their PhD no more than three years before the application deadline. However, candidates who earned their degree earlier may
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. Merits for this position: PhD acquired within three years of last application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context
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. The position concerns research in the above-mentioned projects. Requirements PhD degree in Medical Image Processing or a foreign degree equivalent to a PhD degree in Medical Image Processing. The degree needs
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD
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, microscopy, image analysis, and molecular biology. Requirements To be eligible for this position, you must hold a PhD or a foreign degree deemed equivalent in systems biology, biophysics, molecular biology
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datasets (single-cell RNA-seq + spatial + imaging + proteomics). Additional qualifications for the position are: It is considered an advantage if you have some experience in wet lab work, particularly with
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Research Infrastructure? No Offer Description AMBER’s fifth postdoctoral call with positions on multiscale biological imaging Preliminary open and close dates: OPENS: The call opens 9th of January 2026
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, including image data mining Supervise master’s and or PhD students to a certain extent Contract terms The position is a temporary full-time employment for two years. The position requires physical presence
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science