Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
for clinical, cognitive, genetic, neuroimaging, behavioral, digital and blood biomarker measures. In addition to scientific leadership, responsibilities will also include mentorship of young investigators
-
identification of mechanical parameters using genetic algorithms. The project lies at the interface between applied mechanics, micromechatronics and bioengineering, with potential applications in mechanobiology
-
positions in theoretical computer science, algorithms, and complexity. Founded in 2022, INSAIT’s mission is to establish itself as a world-class research institution and has attracted outstanding faculty
-
/Programming skills are essential to complete this project through geospatial modeling automation, image fusion algorithm development with advanced STARFM process, quality peer-reviewed publications, etc
-
with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
-
Operations Manager to lead and monitor operations for continuous algorithm improvement and validation. This will involve guiding the development of data management systems and establishing data assessment
-
fieldwork in the high mountain lakes of southern Spain with laboratory research, providing a unique and inspiring path toward your doctoral degree. More information in: https://investigacion.ugr.es/recursos
-
participants of the Netherlands Twin Register, integrating genetic and psychological data where relevant. Beyond algorithm development, you will also address methodological challenges such as data quality, bias
-
of themselves. The candidate will organize, manage, and curate big data on the cluster and find biological patterns in a wide range of genetic and epigenetic sequencing and imaging data to facilitate the paper
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI