165 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Forschungszentrum Jülich in Germany
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an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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communities, most importantly in helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit: https://www.helmholtz.ai Presenting research results at scientific meetings, conferences, and as scientific
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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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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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) conferences and project meetings FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your
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( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs WORK-LIFE BALANCE: The option of flexible working (in terms of location) is generally available
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/D3TA06651G ; doi.org/10.1021/acsmeasuresciau.4c00018 ; doi.org/10.1021/acsenergylett.3c00193 Your Profile: Excellent master`s degree in Chemistry, Physics, Engineering, Material science or a similar discipline
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opportunities for personal development and training, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral
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build reliable, reproducible data flows for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely