Sort by
Refine Your Search
-
systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
-
. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
-
and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness, and a structured approach to problem-solving; Good
-
multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
-
mathematical and statistical method development, interest in uncertainty-aware machine learning, good communication skills and sufficient proficiency in oral and written English, creativity, thoroughness, and a
-
oral proficiency in English. The candidate should have A strong interest in protein science, proteomics, structural biology, computational biology, or machine learning. A solid background in molecular
-
Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
-
English. In the evaluation of candidates, particular emphasis will be placed on personal qualities such as independence, strong motivation, and good collaborative skills. Qualifications desired Previous