Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
assistant within six months of the competition closing date, with acknowledgment of receipt. Information on the competition procedure can be found in the Guide for Applicants LINK PL: https://pwr.edu.pl
-
analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
-
of Nevada and to the professional community at large. For more information about the Orvis School of Nursing, please visit: https://www.unr.edu/nursing Exempt Yes Full-Time Equivalent 100.0% Required
-
/neurosciences Information about the Indiana University School of Medicine is available at: https://medicine.iu.edu Basic Qualifications Doctorate or terminal degree required. Must have a PhD or MD degree with 6
-
Status: Closed Applications open: 26/02/2025 Applications close: 30/11/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
-
technologies, data science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and
-
include proficiency in biological and (bio)chemical concepts and some expertise in performing and analyzing proteomics or related omics experiments. Additional desirable skills include data mining, data
-
technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning
-
given preferential consideration in cases of essentially equal qualification (§ 2 SGB IX). Contact and Application More information on the working group can be found here: https://www.leibniz-lsb.de/en
-
Date 09/24/2026 Priority Review Date (Note - Posting may close at any time) Job Summary We are seeking a highly talented PhD Student with experience and interest in state-of-the-art AI technologies, data