Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and quantify high-throughput
-
innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. More specifically, at NRM this research will be
-
for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
-
applying deep learning and/or machine learning models to medical imaging data. Other information This is a permanent position, 100 % of full time. Starting date in October 2025 or according to agreement. How
-
in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability to collaborate in interdisciplinary teams and work with
-
of neurodegenerative disease. Familiarity with fMRI processing software (fmriprep, CuBIDS, XCP). Expertise applying deep learning and/or machine learning models to medical imaging data. Other information This is a
-
13 Sep 2025 Job Information Organisation/Company Linnaeus University Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Sweden Application
-
master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
-
registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial
-
of visualization and multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240