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(7T fMRI, MR Spectroscopy), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics
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to lead a multidisciplinary pharmacometric research team at the forefront of tropical medicine and infectious disease research. The MORU Tropical Health Network conducts clinical and public-health research
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who has been working in an academic or commercial research laboratory/company related to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models
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or (iv) develop new representations of phytoplankton physiology/productivity. The post will be based around using and/or developing the ocean model PISCES, which is a complex model representing the cycling
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OPTIMIZATION FOR COMPLEX ENERGY AND SUSTAINABILITY PROCESSES Are you looking for a future industrial research position or a long-term academic career? Do you want to be part of building up research – preferably
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: Otaniemi Campus, Espoo, Finland Join a cutting-edge research environment where architecture, landscape architecture, and artificial intelligence meet to address complex environmental challenges. About the
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who has been working in an academic or commercial research laboratory/company related to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models
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to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models from these cellular elements. The cells used in this experimental system will be genetically modified
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while also offering scalability to dynamic and complex environments. The PDRA will also lead in-field testing and deployments. Therefore, we require someone with excellent implementation skills and
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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training