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documents uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Novel methods of demolition waste recognition and classification Description: Novel Methods of Demolition Waste
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in the design of methods and instrumentation for medical diagnostics and therapy based on the interaction of electromagnetic fields with biological tissues, with a strong emphasis on the use of non
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of machine learning to accelerate the design and understanding of 3D-printed multifunctional metamaterials, which exhibit tailored combinations of mechanical, thermal, and functional properties. Highly complex
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grants, angel investment, and early revenue. What You Will Do Device Engineering & Manufacturing (First 6 Months – Highest Priority) Select and engage a Design for Manufacture (DFM) engineering firm to
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on tungsten samples and candidate tungsten alloys will validate the simulations and guide the design of more dust-resistant materials. Finally, we will use machine learning to integrate simulation and
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on the design, optimization, analytical and numerical evaluation of the performance and practical implementation of novel linear and non-linear backscatter-based identification and sensing transponders and
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with international recognition, experience in obtaining financial support for research activities capability to think independently and make decisions, ability to work in a team organizational skills and
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to the design of healthy and aesthetically valuable environments for contemporary society. The identity of the department is defined by an emphasis on studio-based teaching, international cooperation, and solving
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both susceptible and antibiotic-resistant strains, remain a major biomedical challenge. This PhD project will focus on the development of advanced nanomaterials through rational design, synthesis, and
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of normal and pathological physiology. It consists of a number of scientific and service departments and shared equipment for the research (http://www.fgu.cas.cz/en/ ). The Laboratory of Molecular Physiology