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, the project will establish predictive frameworks capable of optimising process parameters, controlling microstructure evolution, and improving part quality in real time. Robotic platforms will be used
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interactions in formulation environments. The position contributes to the development of pharmaceutical data science, integrating computational chemistry, molecular modeling, and quantitative analysis
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Foundation. Muoniverse connects over 30 research teams and provides comprehensive training, exchange opportunities, and career development through its Research School. As positions serve as bridges between
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”. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work
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. Furthermore, the PhD candidate will engineer complex genotypes and perform adaptive laboratory evolution experiments. The candidate will work in an international team and is expected to contribute creatively
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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, particularly in areas related to: K-12 computer science education pathways Artificial intelligence literacy and pedagogy Teacher professional development and professional learning communities Culturally
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, and conference travel. You will have access to cutting-edge laboratories, individual supervision, and a wide range of development opportunities. We are committed to family and academic life being
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into the development of small molecules and other therapeutic strategies to treat patients with deadly pancreatic and prostate cancers. Our lab is part of the Department of Molecular, Cell and Cancer Biology (MCCB
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accelerate the development of sustainable resource technologies. The project will be carried out in close collaboration with experimental partners in Singapore, who synthesize and characterize advanced