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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus
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employment decision is made. Doctoral degree in remote sensing, geoinformatics, computer science, or a closely related field. You have experience developing and applying deep learning models for Earth
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communications and networks Beamforming and MIMO algorithms Millimeter wave communications Terahertz band communications Visible light communications Channel modeling and/or interference modeling Beam tracking and
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. Knowledge and experience in modelling techniques in Mesoscale and Multiphysics finite element modelling Good communicative skills, teamwork competence and collaborative abilities, as well as capability
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Viklund and will involve the study of one or more of the following areas: Coulomb gases and related areas, 2D random conformal geometry (SLE theory, lattice models, gaussian fields, etc), conformal field
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deviates from the classical asynchronous-irregular states (e.g. papers from the IBL). In this project we aim to characterize the statistics of both ongoing and task related activity and then build models
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vehicles. The Postdoctoral researcher is also expected to develop mechatronic concepts for rail vehicles and implement these ideas as simulation models to validate the concepts. The projects you will work
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and lung organoids, directly linking molecular design to human-relevant respiratory immunity models. We are looking for a Postdoctoral researcher with a solid background in protein production who is
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pollution can affect natural systems and how these effects can be minimized. The work includes design and experimental studies of simple model systems as well as more applied studies. The applicant should