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metagenomics, host transcriptomics, and clinical metadata. Training will be provided in ONT data processing, differential expression and abundance analysis, and bulk or single-cell RNA-seq. The project will use
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that the programme will combine ideas from a broad range of disciplines, including machine learning, control theory, differential equations, port-Hamiltonian systems theory, modelling of power systems, digital signal
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Description The majority of hydrological models rely heavily on the principle of mass balance, often represented through Ordinary Differential Equations (ODEs). These models encapsulate
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of advanced in vitro tissue models and/or implantable tissues Stem cell maintenance, differentiation and maturation Tissue culture and characterization using molecular biology and histochemistry You must have a
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developing and using dedicated tools and processors Contribute to our sparse auto-differentiation libraries to accelerate the training of state-space models Collaborate closely with our internal partners
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Pajcini, Ph.D. in the Department of Pharmacology and Regenerative Medicine at the University of Illinois in Chicago. The lab studies the processes that lead to the development and differentiation
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and will provide a better understanding of the differential mechanisms in which the perception and mental health of young individuals is related to IAQ. We are looking for a highly talented and
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to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering, or a related discipline. Be familiar with differential equations and have some
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pulses develop numerical codes to calculate the system dynamics by solving partial differential equations (e.g. Schrödinger equation, von Neumann equation) model the coupling to lattice vibrations (i.e
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD