Sort by
Refine Your Search
-
Employer
- Cedars Sinai Medical Center
- University of Arkansas
- Ball State University
- California State University San Marcos
- California State University, Northridge
- Cornell University
- NIST
- University of Nebraska–Lincoln
- Bucknell University
- Georgia State University
- Nature Careers
- The University of Alabama
- The University of Chicago
- University of Kansas
- University of Michigan
- University of Nevada, Reno
- University of Texas at Arlington
- Washington State University
- Zintellect
- 9 more »
- « less
-
Field
-
Computer Science, Engineering Education, or a closely related field • Demonstrated ability to teach at the college level • Knowledge of algorithmic thinking and basic computational problem-solving • Excellent
-
of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Key Responsibilities: Develop and implement advanced algorithms for analyzing calcium
-
bioinformatics, computational biology, and clinical genomics to assist in identifying, evaluating, and incorporating relevant algorithms and software. Educates and mentors colleagues, investigators, fellows, and
-
with U.S. government agencies, municipal governments, researchers, and a dedicated team of research analysts, data scientists, and staff, to support research projects led by the EE Lab and Faculty
-
development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
-
inequality so persistent across organizations from firms to schools and even the government? Does the use of big data and algorithms produce more objective decision making that ameliorates racial inequality
-
genetic counseling and targeted drug therapies to a growing array of minimally invasive procedures, Cedars-Sinai continues to stand at the forefront of technology, innovation and discovery improving patient
-
data types such as dictionary, priority queues, matrices, and relations, foundation of recursive algorithms, complexity analysis, complexity classes, sorting and searching, computability and
-
of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
-
algorithms, scientific computing, and machine learning or statistics is preferred. Proficiency with C/C++, Java, Perl, python, and the Unix (Linux) environment is a plus. Experience in manipulating, analyzing