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agricultural vehicles and robots, tractor-implement automation, communication technologies for vehicles, navigation, guidance and planning, positioning systems, model-based control of mechatronic systems, drives
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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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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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experience in analog design flow and in the use of Cadence design tools Initial know-how in digital and mixed-signal design flow is an advantage Strong communication skills, open personality and good German
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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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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
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- WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Tasks: academic research and teaching at the Chair, in particular with a focus on digital twins and AI applications
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Germany, the Career Service provides workshops, online learning modules, and a qualification programme as well as digital career tools and a virtual community for international employment opportunities
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Degree Doctor of Philosophy (PhD) Course location München Teaching language English Languages Mandatory curricular activities are carried out in English. Participants can choose to attend courses