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relevant neuroprotective and recovery-oriented strategies. Overall, SYNERGY bridges experimental neurobiology, biophysics, and computational analysis to provide mechanistic insight into neuronal survival
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the design and analysis of such models. PhD position 1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD
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industrial-relevant processing conditions. Performance and Lifetime Analysis: Conducting comprehensive mechanical, chemical, and aging tests on the resulting rubber composites to quantitatively demonstrate
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data analysis tools (e.g., python, R, SQL, Power BI or similar); You are an excellent team-player in an enthusiastic group of scientists and practitioners from different backgrounds; You are fluent in
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. Programming and Data Analysis: Proficiency in programming tools such as Python, MATLAB, or C++ is highly beneficial for control development, data analysis, and real-time system implementation. Experience with
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and understanding the behavior of the analyte molecules. Surface chemistry (basics) Data analysis Measurement automation Scientific writing Soft skills (presentation skills, time management, teamwork