Sort by
Refine Your Search
-
Employer
-
Field
-
a PhD thesis in the fields of artificial intelligence, bioinformatics, and computational biology. You will develop deep neural network models for the analysis of large-scale molecular data. You will
-
experience, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system
-
the student will focus on developing, validating, and applying an instrumental platform for untargeted and targeted entometabolomics analysis. This will involve i) adapting and optimizing existing metabolomics
-
, statistics, applied math, computer science, or in a related field You have a strong interest in weather and climate research You have excellent knowledge in computer programming (e.g. Python) and data analysis
-
experience with time series data analysis and/or anomaly detection is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I
-
reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy). These teams are founding partners
-
(image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy). These teams
-
(image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy). These teams
-
formulate? Methodological analysis: What research methodologies could you use and how? Work plan: How would you go about developing this research further? What sources would you consult? What are some risks
-
analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning approaches What we offer As