Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as
-
8 Nov 2025 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 30 Dec 2025
-
and Social Aspects of Software Engineering, Post-Quantum Cryptographic Techniques and Applications. OUR CORE RESEARCH AREAS · Artificial Intelligence & Data Science o Data Management & Mining
-
infrastructure enabling multi-messenger discovery Systematic studies of AGN variability focusing on extreme transient phenomena in accretion disks and supermassive black hole binaries Data mining of extensive
-
, structural design, structural reliability methods and circular economy of built environment, and applications of artificial intelligence (AI) for data mining, processing, and modelling. As the Research
-
, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R
-
moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
into clinical expertise. More information about UNC Neurogenetics can be found on our website (https://www.med.unc.edu/neurology/divisions/neurogenetics/). UNC Neurogenetics works with a number of trainees
-
information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
-
, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as