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integrated, holistic planning and scheduling to optimize resilience across several factory systems. Development of AI-based tools and complex simulation systems is expected to be a core contribution. 3) IT and
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for integrating heterogeneous data from humans, robots, and environments into a unified control framework. You will create attention-based models that balance human input with environmental awareness to optimize
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, NCBI-GEO, ArrayExpress, GTEx, ENA, BLAST, Ensembl, UCSC Genome Browser, etc). Demonstrated proficiency in shell scripting (Bash) for automation, workflow optimization using Nextflow and Snakemake, and
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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, graph theory, satisfiability problems, discrete optimization. Strong interests in chemistry as well as proven competences in programming and ease with formal thinking are a necessity. This PhD project is
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well as personal and professional development will be provided to ensure optimal conditions for a thriving professional period For a more detailed description of Center for Humanities Computing, please visit: https
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. Analysis of the power system and its resilience under various contingency scenarios. Energy systems and business models, with an emphasis on energy harvesting. Designing optimal sizing and placement
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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operation and continuous optimization of the Skylab Incubator. be part of co-developing and maintaining our overarching program curriculum. design, plan, and execute workshops on relevant startup topics. take
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and estimate tidal components. When relevant, compare with tide gauge data. Develop robust station infrastructure capable of withstanding extreme Arctic weather conditions. Optimize power supply