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Field
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the further development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental
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development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental repertoires within
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requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management strategies. Key duties and responsibilities: Research implementation: Design and
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. David Granville, the incumbent will be responsible for: Designing and implementing research plans and approaches, including in vitro studies, in vivo models, formulation optimization Facilitating other
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biology for a two-year term with possibility of extension. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C
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, quantum many-body physics, spin dynamics, quantum simulation, quantum optimal control, quantum optics, atomic physics. Required Skills: PhD in a field of research related to experimental quantum physics
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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the overall objective of the PhD work. Some potential specific research objectives: Model the coordination and interactions between power producers and system operators (DSOs and TSO) in scenarios
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macrophages to examine their ability to delay autoimmune responses. Perform islet transplantation studies in mouse models of T1D to define optimal transplant sites and the use of accessory cells/therapies