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). You have background knowledge in computational chemistry or materials physics, especially in modeling battery cathode materials, oxygen release, or defect/vacancy formation. You have experience with
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of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http
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We are a German and Portuguese start-up revolutionizing novel and high impact materials discovery using leading AI models and smart synthesis. At alqem, we believe that new breakthrough materials are a
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generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with
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materials to enhance the cell robustness. Work plan The work plan for the PhD thesis will be divided in three main steps: 1) A chemo-mechanical model will be built to predict the crack initiation and
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financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable
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puzzles in a quantum simulation approach. Moreover, they allow one to engineer and investigate even richer variants of the model, which go beyond the realm of existing materials. In our group, we
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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, and c) predicting new phenomena and discovering improved materials for applications. My efforts in this area use a variety of modeling approaches to answer questions on materials systems of interest
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Expertise in CNS-targeted delivery, BBB transport, or neurodegenerative disease models. Experience with high-throughput screening platforms, or combinatorial nanoparticle libraries. Familiarity with advanced