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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
of the Heidelberg University is recruiting a visionary Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disease (f/m/d; tenured) This is not just a job—it’s a mission. A
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for appropriate use cases Implementation of selected ML model and validation of results Preparation and documentation of results What you bring to the table You are studying mechanical engineering, industrial
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Technology” department, we deal with the interconnection of crystalline silicon solar cells, their encapsulation in PV modules, detailed efficiency analysis, the simulation of thermo-mechanical reliability
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courses on MBSE Conducting literature research in the context of MBSE and preparing it for projects and training courses What you bring to the table Degree in computer science, mechanical engineering
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check whether the model can reliably predict the parameters of a demonstrator component What you bring to the table You are studying industrial engineering, physics, computer science, mechanical
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 1 day ago
Access to state-of-the-art scientific infrastructure and training (including imaging, scientific computing and data visualization, proteomics, and electronics facilities, and a mechanical workshop
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, active participation in the new interdisciplinary study program Data Analytics in Economics and Business is required. Research should address economic questions with a methodological focus on theoretical
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Computer Science, Information Technology in Mechanical Engineering/Computational Engineering Sciences, Physical Engineering Sciences, or related fields Strong team skills and the ability to work independently and
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degree (Bachelor's or Master's) in mechatronics, electrical engineering, computer science, or a comparable degree Sound knowledge and experience in measurement technology and mechanics Ability
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell