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the planning methods into the open data AgiMo Digital Twin, (4) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility
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Group (EASE IRTG), Empowering Digital Media (EDM), the Research Training Group HEARAZ , the Research Training Group KD²School (KD²School), π³: Parameter Identification – Analysis, Algorithms
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engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL, SystemC), reconfigurable architectures (e.g. FPGA, CGRA) What we expect from you: above-average degree
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genomic, transcriptomic, epigenetic, proteomic, digital spatial, and other ‘omics data in healthy and disease states close interaction with the bioinformatics and immunology teams of Katrin Kierdorf, Julia
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persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core Research Back
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, digital and mixed-signal integrated circuits Layout design for CMOS and OLED production Close cooperation with interdisciplinary departments and research partners (e.g. OLED technology and production
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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variety of academic backgrounds, including but not limited to: Computer science (e.g. in AI/ML, systems, HCI, security, privacy) Law (data protection, tech regulation, digital rights) Public policy or other
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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teaching at the Chair, in particular with a focus on the planning and design of railroad systems application and continued development of digital planning methods such as Building Information Modeling