Sort by
Refine Your Search
-
Category
-
Country
-
Employer
-
Field
-
descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
contributor to the LEGEND collaboration, with major roles in detector development and characterization, electronics readout and data acquisition, and software and analysis development activities. The UNC group
-
. Information on employment as a PhD student at Forschungszentrum Jülich can be found here http://www.fz-juelich.de/gp/Careers_Docs The position is limited to three years, with a possible one-year extension. Pay
-
software, and close integration with experimental and modeling groups across institutes and Helmholtz programs. Structured doctoral training and international visibility: The PhD candidate will be part of
-
respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree and 4 years of relevant postgraduate experience or a MS degree with 10 years
-
Science, or related field Research experience, ideally with human participants Experience in R or other statistical software Familiarity with eye-tracking and LENA systems Research Assistant II: Bachelor’s
-
., MD, PhD, MPH, or related programs). The role is entry-level in scope and provides close mentorship and supervision while offering a steep learning curve. The anticipated term for this position is two
-
updates. Minimum Requirements (Essential) Education PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Biomedical Engineering, or a related field. Technical Skills
-
is ideally suited for individuals that have recently graduated and are looking to gain research experience prior to pursuing a PhD or Industry position. The successful candidate will be involved in
-
devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering