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Field
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing
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biology, including: Genetic engineering of human malaria parasites (CRISPR/Cas9, DiCre, etc.) A broad spectrum of cutting-edge imaging methods (live-cell and time-lapse fluorescence microscopy
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life sciences program Solid histology experience (tissue preparation, stainings incl. IFL and ISH, microscopy, RNA/protein preparation, in vivo), experience with LeicaBond (or similar), slide scanners
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independent research projects or subprojects if particularly qualified Your profile Successfully completed technician training with professional experience or BA/MS degree in a life sciences program Solid cell
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software architectures for AI projects Collaboration in prototype development and practical research projects in cooperation with industry partners What you bring to the table Degree in computer science
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for real-time operation of AO systems Support experimental efforts by processing and analyzing image- and communications data streams Incorporate artificial intelligence framework into our AO systems and
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2 Sep 2025 Job Information Organisation/Company Humboldt-Universität zu Berlin Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD, diversity is an essential
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international conferences Assist in the mentoring of team members taking on computational tasks Requirements PhD or equivalent in bioinformatics, computational biology, cancer biology or similar Strong background