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because the resulting mechanical properties allow for material thickness reduction, leading to lighter vehicles, reduced fuel consumption and lower CO2 emissions. Within the framework of this PhD
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engineering. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines . Application The application should contain: A cover
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in Chemistry, Materials Science or Chemical Engineering with a strong background in polymer synthesis, organic synthesis and materials characterization. Knowledge of sensing materials and sensor
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breadth. Required Qualifications A PhD degree in any field of engineering, higher engineering education, or related discipline. Research that spans multiple domains (e.g., robotics + human factors
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Engineering, Computer Science, or a related field. Master’s or PhD in Electrical Engineering, Computer Science, or related discipline. Research or technical experience. Research experience in machine learning
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. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------...
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compatibility. Importantly, they will safely degrade after use, reducing medical waste. This interdisciplinary PhD is ideal for candidates interested in biomedical engineering, materials science, or electronics
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Application deadline: All year round Research theme: Computational Mechanics/Applied Mathematics How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students
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will comprise: (i) fabrication of samples by metallic additive manufacturing techniques and characterization of the produced materials; (ii) enrolment in a PhD program; (iii) publishing scientific papers
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extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes