Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
., statistical methods for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). Learn more about the Department of Mathematical Sciences here . The Department
-
associated with interpretation of measurements from blood and, in particular, measurements from a blood gas analyser. Often, blood samples can be incorrectly assessed due to gas contamination, delayed analysis
-
experience in Molecular Microbiology, Microbial Genomics/Metagenomics, Culture-based Microbiology, Bioinformatics or Quantitative Data Analysis is an advantage; applicants are not expected to be experts in all
-
are a requirement. Knowledge of, or experience with, molecular techniques and bioinformatics (especially genome-resolved metagenomics) analysis is desirable. Experience in data analysis is advantageous
-
20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
-
Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
-
deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
-
to analyze and learn from the delivered care and outcomes. Here, AI, particularly NLP, has great potential to extract, structure, and analyze clinically relevant information from these unstructured narratives
-
on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
-
, Greenland glaciology, statistical analysis of proxy data. You should have good analytical and problem-solving skills and be motivated to develop quantitative approaches that connect geological records of past