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: This research project focuses on the link between SARS-CoV-2 infection and neurodegenerative disease, with a focus on Parkinson’s disease. Recent work from our department showed elevated levels
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PhD in Data-Driven Modeling of Homogeneous Catalysts (1.0 FTE) (V25.0035) « Back to the overview Job description Among the most challenging to develop catalytic reactions are stereoselective
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. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used
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. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective
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decision-making, you will have the opportunity to develop your own insights, collect data, and share your findings with both scientific colleagues and partners from professional practice worldwide. Under
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, stimuli selection, recruitment, participant testing, report writing). Experience with experimental software (e.g., Presentation, PsychoPy, E-Prime, Gorilla). Experience in data analysis and programming in R
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results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular
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groups. Interdisciplinary focus: This project links Disciplines: comparative biology, optics and biophysics. Theory: optical theory provides us with specific predictions as to what eye designs would work
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, cognitive, and theoretical backgrounds. Moreover, dr. Martin has links with the SPRAAKLAB research group, which has extensive experience with data collection, and a well developed scientific outreach
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Key takeaways The increasing integration of data-intensive and Artificial Intelligence (AI) systems into everyday life has made digital identity a pervasive and inescapable reality. Every time we