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enrolled in a PhD program - art. 6º, c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf subject to suitable performance within
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence
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in molecular biology Excellent programming skills Experience in computational analysis of molecular data Experience with high performance computing Aptitude for team work, problem solving and
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/or cereal grain proteins; b) Proficiency in handling human cell cultures in vitro and in approaches to simulate gastrointestinal digestion of foods; c) Practical experience in (ultra) high-performance
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Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing
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that directly relate to this position. The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine & Bioinformatics, is seeking candidates for a postdoctoral research fellow position
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demonstrated expertise in real-world robotic applications. • Extensive experience in sum-of-squares (SOS) algorithm, hands-on experience in developing high-performance optimization solvers for robotics
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the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required to design and perform experiments
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germ-free and conventional mice Perform high-dimensional data analysis (single-cell/spatial transcriptomics, genomics, metabolomics, immunoprofiling) and integrate findings with clinical datasets
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: Two-Sample Test for High-Dimensional Covariance Matrices [RI 4/22 ZTM] Project Introduction: With the rapid development in data collection and storage techniques, vast amounts of information