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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
Job description:Postdoc (f/m/d) AI-based automated adaptation and biological optimization of proton therapy With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees
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is offered to an experienced candidate holding a PhD in Chemistry or related areas in the Group of Therapeutic Peptides of the Dept of Inorganic and Organic Chemistry (University of Barcelona
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, manufactured using a hybrid PIP (Polymer Impregnation & Pyrolysis) - CVI (Chemical Vapor Deposition) process from a ceramic fiber preform. This process requires optimization, whereby the structure of the porous
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energy system and its environment (port) with scenarios. • Development of an optimal design method applied to the energy system simulation model. • Multi-criteria evaluation of the proposed energy systems
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IATE partners. Supervise the collection and processing of samples (fish feces, exposed microplastics). Develop and optimize enzymatic and chemical cleaning protocols for samples. Perform advanced polymer
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collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work
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challenges in optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project
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: Sustainable mineral processing and hydrometallurgy, with emphasis on potash beneficiation, process optimization, and potash brine valorization. Main responsibilities: Conduct literature review on potash ore
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, process optimization, and potash brine valorization. Main responsibilities: Conduct literature review on potash ore processing (carnallite) and brine management practices; Perform mineralogical and chemical
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, the research involves participation in the design of quantum devices with our collaborators within the QLSI2 european consortium, optimization of spin readout at large scale, development of automatic control