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documents. The first interview and task assignment. The second interview and assessing the completed task. Additional comments PhD topics PhD-A: Optimized IoRT network for enhanced data quality of IoRT
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with electrochemical techniques (CV, EIS); • ability to optimize technological processes and deposition parameters; • experience in research project implementation (e.g., NCN, Horizon Europe
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phenomena, including the design and optimization of thermoelectric converters, analysis of thermal stresses in thermoelectric systems, and simulation of their energy parameters, 3) authorship or co-authorship
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activity (TON, TOF) and selectivity will be used to develop predictive machine-learning models that enable accurate in silico identification of optimal catalyst–substrate–conditions combinations and the
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the Purcell effect, which in the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED
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the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED processing will be required
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communication skills in English, 4. Programming skills are desirable (Julia, Python, convex optimization and semidefinite programming). Task description: The project focuses on analytic and geometric properties
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orientation of its research concerns aerodynamics, solid mechanics and energy conversion in flows including plasma and lasers. Participation in the design and optimization of integrated energy systems
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of electric drives; optimization of mechanical devices; 3D printing and rapid prototyping technologies; ergonomics and its application in machine/device design LanguagesENGLISHLevelExcellent
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: theory of machines and mechanisms; construction and use of electric drives; optimization of mechanical devices; 3D printing and rapid prototyping technologies; ergonomics and its application in machine