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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
, precise transport, controlled release, and therapeutic activity. • Characterize and optimize these biotherapeutics in vitro by assessing their structure, functionality, and stability under storage and
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first focus on hedging decisions with respect to the uncertainty on the battery model itself. To this end, you will explore concepts such as distributionally robust chance constrained optimization. Second
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metamorphic rocks. This poses drilling technical challenges that differ from the sedimentary rocks on the shelf. Nevertheless, there is a lot of experience and technology to be gained from the Norwegian
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challenges that differ from the sedimentary rocks on the shelf. Nevertheless, there is a lot of experience and technology to be gained from the Norwegian petroleum industry. The geothermal gradient is moderate
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distributionally robust chance constrained optimization. Second, you will explore how data-driven models capturing the state-of-health and degradation can be integrated in the battery model. You will develop
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of different chemical natures. In addition, mechanical recycling, which is currently the most widely used process, causes chain breaks and thus alters the rheological and mechanical behavior of the polymer
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with companies. GPDS develops different lines of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization
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different countries. The department also include the Stockholm University Demography Unit (SUDA ), established in 1983, an international group of scholars and doctoral students, working on many facets
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. Its primary objective is to guide cities in their transition toward net-zero transport emissions by reallocating urban space, redesigning infrastructure, and optimizing the movement of people and goods
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages