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Field
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sequencing, genome-wide data integration, statistical modeling, and hypothesis-driven experimental design, preparing them for leadership roles at the interface of molecular biology and data science. Your Tasks
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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relating the experimental data back to clinical datasets. We are an enthusiastic and international team and offer intensive training and mentoring. Your Tasks The successful candidate will have the
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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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training lifetime membership in the alumni network individual support by the foundation Application Papers All application forms and further information on the application procedure are available here
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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