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Field
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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modelling in various plant species. All available projects are detailed where applicants will also find more information about the host groups. Your profile You are a highly qualified and motivated student
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and RNA-seq techniques (including data analysis) Cellular metabolism Mammalian tissue culture and cell manipulation Fluency in English (knowledge of German is not required) Our Offer: Scientifically
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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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environment offers abundant opportunities for both direct and indirect learning in various technologies, making it an ideal place to start a career in the field. For scientific information about the project
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semester Application deadline Our online application platform will open on 25 August 2025. The closing date for applications is 7 October 2025. More information about the timeline of the application process
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Degree PhD in Health Data Sciences Course location Berlin In cooperation with Institute of Public Health, Charité - Universitätsmedizin Berlin Institute of Biometry and Clinical Epidemiology
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-muenster.de Apply now via our career portal until 26.11.2025, including CV Short letter of motivation Record of publications Contact information of two references in your application Applications of women
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whether it may fit your interests, please read some recent papers by our lab before you apply. Additional Information CISPA and the University of Stuttgart have a large interest in increasing the number
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offers Contact & Application For further information please contact Prof. Dr. Matias Simons via e-mail . Interested? Applications will be accepted direct online . Humangenetik Prof. Dr. Matias Simons Im