167 computer-"https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nature Careers in Germany
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references) by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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or activities in organizations, lectures, further training or qualifications) are to be submitted electronically via the appointment portal of Martin Luther University Halle-Wittenberg by 30.01.2026: https
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and two reference contacts until the 15th of December online via (Shortlink to applyform) https://mtj.jobs/3322095 For further inquiries, please contact: sandra.schickinger@uniklinik-freiburg.de General
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submitted as a PDF attachment to the application. Further information can be found at Recognition of Degrees and Achievements . For information on fair mobility, click here: https://www.fair-labour
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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site in Heidelberg, invites international students holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology / public health
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postdoctoral fellows to conduct interdisciplinary research on the interactions between fungal pathogens and microbial ecosystems within the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany
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the transfer of new ideas from the lab to real-life applications, improving lives. The Computational Health Center (CHC) at Helmholtz Munich drives research at the intersection of artificial intelligence, data
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team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our
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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