172 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Forschungszentrum Jülich in Germany
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available
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individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs CAMPUS EXPERIENCE: Our research campus in the countryside creates ideal
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understanding or knowledge of processes in public (research) institutions or in a college or university environment is desirable Enthusiasm for technology, digital trends and innovations Experience in using
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engineering or a related subject Knowledge of crystallography Interested in interdisciplinary research Independent and responsible way of working, commitment, high degree of teamwork, as well as enjoyment
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development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via
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events and pollution Explore climate change mitigation scenarios PROJECTS ACTUATE: https://earthenvironment.helmholtz.de/changing-earth/innopool-projects/ MESSy : www.messy-interface.org Your Profile
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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structured JuDocS program for doctoral candidates https://www.fz-juelich.de/en/judocs Health & well-being: Your health is important to us. You can look forward to a comprehensive company health management
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will