50 finite-element-analysis Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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neuroscience (e.g., in vivo neurophysiological recordings, behavioral training) or computational data analysis (e.g., spike sorting, neural signal processing) Excellent communication and collaborative skills A
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-FISH Preference is given to candidates with experience in RNA-sequencing, whole exome sequencing, and associated analytical pipelines Growth mindset and ability to adopt new data analysis modalities
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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conduct independent and collaborative research in computational social science, contribute to the collection, management, and analysis of novel datasets, and co-author publications in peer-reviewed journals
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of the adaptive immune response to blood coagulation factor proteins deficient in individuals with the inherited bleeding disorder hemophilia, namely factor VIII and factor IX. The goal of the laboratory’s work is
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, the following elements will be positively evaluated: Knowledge of both written and spoken Italian; Employment Type of contract: fixed-term contract Working hours: full-time (38 h per week) Start date: Preferably
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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for a postdoctoral research position focused on the intersection of geography and public policy analysis. Successful candidates will have research experience in quantitative geography, geographic