Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Scheduled Hours 40 Position Summary Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in the design of experiments, clinical trial
-
lack reliable uncertainty quantification. The methods developed in the project will tackle these shortcomings, enabling computationally efficient inference and prediction of gas dynamics at high spatial
-
or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing
-
/nondiscrimination/ Online reports may be submitted at oeo.utah.edu https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary
-
/nondiscrimination/ Online reports may be submitted at oeo.utah.edu https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary
-
of Finland (website) . The projects will explore chemically mediated intra- and interspecific interactions with a focus on understanding the spatial and temporal dynamics of interactions. The projects will
-
of Applied Mathematics and Statistics at the Department of Mathematical Sciences. Under the supervision of Malin Rau, you will contribute to impactful research in optimization. About us The department of
-
current projects, we are applying single cell genetic tools to describe the transcriptomic landscape of Hodgkin lymphoma. We are also interested the application of spatially resolved transcriptomic data
-
locomotor gait (using the Catwalk and Motorater equipment), spatial memory test (Y-maze). The software Anymaze to acquisition and analysis of behavior will be used for this purpose. Administration
-
/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in