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, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
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Advertisement for the field of study such as: automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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are conducted at scheduled intervals, and the acquired data are processed to compute reconstructions. The results and scanning workflows are also analyzed to drive continuous improvements in the quality and
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change, partly based on a long-term monitoring program maintained in a shallow river-connected lake. We look forward to recruiting a creative and dedicated experimental ecologist with expertise in
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of biological information for the promotion of heathcare. Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art
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tasks and seminars, training of new group members in laboratory techniques) Independent work ethic and desire to learn new methods and protocols Basic R computer programming skills Basic software skills
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Would you like to gain experience in a modern and professional team and learn firsthand how research and development in the field of computational imaging works? Then you've come to the right place
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with a strong background in bioinformatics, computational biology, or computer science, and with demonstrated expertise in artificial intelligence (AI) – particularly in large language models (LLMs
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 1 month ago
GEOMAR Helmholtz Center for Ocean Research. The research IMPRS EvolBio offers a doctoral program that delivers outstanding opportunities for young scientists. It provides an internationally competitive
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial