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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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healthcare, The key objective is to spearheadresearch and development to revolutionise patient care and inform public health policies. For more details, please view https://www.ntu.edu.sg/c-aim We are seeking
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medical image processing, excellent Python programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element
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neuronal activity. In parallel, you will apply genetic engineering, using our established PiggyBac transposon system, to introduce optogenetic actuators, giving a complementary optical route to
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such as Infiniband (e.g. experience with VLAN, MLAG, and LACP configurations). • Proficiency in programming/scripting languages in the context of systems engineering or administration, preferably
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ERP and application system manuals. Preferred Experience Knowledge of production control. Experience with database query language programming. Microsoft Projects and Visio knowledge. Equipment Use of
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needed to advance the field is fundamental to the work of the center. Research projects currently pursued at CCQ cover a broad range of methods and interest, see: https://www.simonsfoundation.org
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(BRC). For more information about the School of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . A Research Assistant/Technician position for developing molecular tools and techniques in
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 10 days ago
and Functional Genomics ( https://www.translatum.tum.de/translatum/forschungsgruppen/rad-roland-experimentelle-krebsgenetik/ ) at the DKTK partner site Munich, starting at the earliest date possible
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the