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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly desirable
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, adapt and implement new lab procedures. Perform complex and routine molecular biology procedures including flow cytometric analysis, PCR, RT-PCR, Q-PCR, and Western blotting, DNA/RNA extraction
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related field. Previous experience in data science, data reduction and analysis, and/or software development. Established record of independent research. Research expertise in time domain and/or multi
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an understanding of glacioeustatic cyclicity, sequence stratigraphy, fluvial to shelfal marine sedimentology, basin analysis, and multidisciplinary data analysis workflows. Responsibilities Research development and
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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techniques in interfacial science; and mathematical techniques and computer programming for data analysis. Considerable skill in working interactively and productively in a multidisciplinary environment Good
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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present findings at scientific and stakeholder events. Seek new funding to expand research scope and impact. Guide students in data analysis, troubleshooting, and writing. Qualifications: Ph.D. degree in