Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context: Opioid addiction, particularly to heroin, is a
-
denoising techniques, analysis of visual and cognitive experiments, and/or related computational modeling work. For additional information on the position email kay@umn.edu. Duties and Responsibilities
-
Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 2026-R0191 Is the Job related to staff position within a Research Infrastructure
-
. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
-
(PhD) in neuroscience or a releted scientific field (e.g., psychology, genetics, biology) • At least two years of postdoctoral research experience in neuroscience • Knowledge of the basic principles
-
that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred
-
conferences and professional development opportunities 5% document and publish data and code Qualifications Required Qualifications: · PhD in hydrology, soil science, environmental engineering, or
-
, Epidemiology, Computer Science, or related field -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA
-
, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing
-
hearts Assist with human heart anatomical studies and imaging and developing high resolution computational models and 3D printed models to be used for device testing Work under general supervision but is