113 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers in Germany
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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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experience and visibility. Further information Complete applications (scientific CV, academic career, list of publications and lectures, copies of academic certificates, documentation of teaching
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Experience in conducting complex laboratory experiments and test series, with experimental design and measurement data handling Good programming skills in Python Experience with hardware-related programming is
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
to: Friedrich Schiller University Jena Dean of the Faculty of Physics and Astronomy Max-Wien-Platz 1, 07743 Jena, Germany E-Mail: dekanat-paf@uni-jena.de For questions and information about the procedure, please
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learn about state-of-the-art and emerging AI methods for clinical applications Your profile An excellent master's degree or a PhD in computer science, software engineering, data science, physics
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, CSF) or advanced proteomics workflows (e.g. spatial proteomics) Fluent with proteomics data analysis tools and data management, programing skills in R’ or Python highly desirable Service-oriented
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analyzers, spatial/imaging coming in now) Consult users in experimental design and data interpretation Train users for independent equipment and software usage Liaise with external customers and service
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with your work Please find further information and eligibility criteria on www.dkfz.de/clinicianscientist Contact: Dr. Mariana Schulte-Sasse Phone: +49 6221 42-1696 The position is initially limited to 2
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the proportion of women in areas where they are underrepresented. Women are therefore expressly encouraged to apply. CONTACT For further information, please contact Dr. Zhaolu Diao (zhaolu.diao@mr.mpg.de
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machine learning, AI, and computational data analysis Solid understanding of biological and biomedical concepts, particularly in genomics, transcriptomics, or single-cell technologies Proven experience