Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Carnegie Mellon University
- The University of Chicago
- University of Florida
- University of Texas at El Paso
- Harvard University
- Purdue University
- University of Nottingham
- University of South Carolina
- Jane Street Capital
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Pennsylvania State University
- Radix Trading LLC
- The University of Alabama
- University of Miami
- Wageningen University & Research
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- Aalborg University
- Columbia University
- Duke University
- Fermilab
- George Mason University
- Georgia Southern University
- Monash University
- Newcastle University
- Rochester Institute of Technology
- The Ohio State University
- The University of Iowa
- The University of Manchester
- Universitat de Barcelona
- University of Arkansas
- University of Bremen
- University of Cambridge
- University of Kentucky
- University of Limerick;
- University of Maryland, Baltimore
- University of Salford
- University of Texas Rio Grande Valley
- University of Warwick
- Uppsala universitet
- 30 more »
- « less
-
Field
-
on psychological assessment of learning and attention disorders and neuropsychological testing with youth with various medical conditions (including seizures, cancer, and kidney transplant patients). The fellows
-
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
-
Classification Title: Research Assistant Scientist Classification Minimum Requirements: Ph.D. in Electrical Engineering, Computer Science, Computer Engineering, or a closely related field by
-
outcomes research and real-world data analytics, with a strong publication record. Proficiency in advanced data analytics, machine learning, and statistical modeling. Job Description: The Department
-
insurance and supplemental retirement options; professional learning and development programs; limited tuition remission for employees enrolled at UMB; life insurance and long-term disability; and flexible
-
to learn new techniques and instruments, good organizational skills, and the ability to work with a diverse team of scientists. Applicants with prior experience in anaerobic microbial culture, lab
-
be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
-
advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging
-
Strong Python skills and experience with data manipulation Basic machine learning knowledge (equivalent to at least an introductory course) Additional skills (nice-to-haves) Experience with website
-
interaction, geo-information science, or a related field, with experience in experimental research using virtual reality? If so, we have an exciting PhD opportunity for you! Spatial thinking plays a crucial