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skills are desirable Goal-oriented and structured way of working, initiative/commitment and ability to make decisions Ability to work in a team and willingness to cooperate, willingness to learn, strategic
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industry partners in the department of the same name to further develop LPBF for a wide range of industrial applications – from new machine concepts and innovative process strategies to the processing
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and adults actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas
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approaches Encouragement to pursue own research ideas Opportunity to develop an independent scientific profile Possibility to acquire funding to support future projects REQUIREMENTS: Highly motivated and
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abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum
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Max Planck Institute for Legal History and Legal Theory, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
the English language, at least one Indian language, and willing to learn German if necessary. Your CV should demonstrate your capacity to pursue research at the highest international level. You are able to adopt
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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
experience Experience in computer programming; Experience of computational mathematics or data analysis Experience with interdisciplinary applications in biology Our offer A full—time position, with a flexible