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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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atmospheres, their origin and how they are expected to evolve in a changing climate. Spectral 2D and 3D numerical solvers based on spherical harmonics will be used for the project to perform simulations aimed
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and approaches, as well as implementations that can be practically used. The first project targets specifically numerical programs that appear widely in e.g. safety-critical (embedded) systems, data
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of their biological counterparts. This project aims to overcome these limitations through a synergistic circuit–device co-design that jointly optimizes both circuit architectures and component properties, ensuring
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, to automation and optimization, machine design, production, and production systems. Project Description This PhD project is part of the research project “Sustainable and Resilient Hydrogen Infrastructure
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organization and management, innovation and entrepreneurship, and industrial and social marketing in technology- and innovation-intensive activities, to automation and optimization, machine design, production
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Engineering, or a foreign degree deemed equivalent, in Electrical Engineering or related fields, or equivalent competence considered relevant by the employer. Strong knowledge in control and optimization theory
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into scaffold–cell interactions and contribute to the development of clinically relevant bone substitutes. Project goals Goal 1: Develop and optimize biomaterial inks replicating the composition of natural bone
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known as Uppsala University Drug Optimization and Pharmaceutical Profiling (UDOPP) — operates as a specialized unit in the Department of Pharmacy, Faculty of Pharmacy. The unit focuses on in vitro ADME
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics