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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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Networks, and ICT Services & Applications. This industrial PhD position is part of the "Autonomous Systems for Land, Air and Space" (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of
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Application deadline Applications must be received by 15 August. Tuition fees per semester in EUR Varied Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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in research Prepare and conduct interviews with key informants (including all communications prior to and following the interviews) Analyse interview data in collaboration with the research team Plan
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real-world applications? Are you fascinated by how the local dynamics of nearest neighbour models can determine the macroscale behaviour of a system? Do you want to understand how matter self-organizes
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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contribute to the development of the Institute’s academic programs, mainly aimed at master's students, but also for bachelor's degrees, on-the-job training and MOOCs. The applicant will participate in
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in the program, will be matched with potential PhD advisors. Application Materials Required: Submit the following items online at this website to complete your application: • Cover letter • Curriculum