10 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Centre for Genomic Regulation
-
group at the forefront of AI-driven protein design and engineering. The team is highly collaborative, integrating computational scientists, experimental biologists, and biotechnologists to push the
-
Core Technologies Programme that includes the technology units of proteomics, bioinformatics, protein technologies, tissue engineering, flow cytometry and advanced light microscopy. The programme is
-
26 Feb 2026 Job Information Organisation/Company Centre for Genomic Regulation Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
-
using a combination of single cell genomics, genetic screens, and computational biology. We strive to develop novel genomic and bioinformatic tools to answer longstanding questions in the field. We cover
-
genomics, genetic screens, and computational biology. We strive to develop novel genomic and bioinformatic tools to answer longstanding questions in the field. In particular, we cover two main research lines
-
benefit from a well-structured and personalized training and mentorship program, including experimental training, regular meetings, seminar attendance, data analysis and presentation. Project description
-
evolution of cellular structures, with a particular focus on centrioles, centrosomes, cilia, and cytoskeletal organisation. The lab combines cell biology, advanced microscopy, quantitative image analysis
-
the “Computational Biology and Health Genomics” program at the CRG. Further information can be found on the Weghorn Lab website and at www.crg.eu/en/programmes-groups/weghorn-lab . Whom would we like to hire
-
interdisciplinary group investigates the biology of hematopoietic stem cells using a combination of single cell genomics, genetic screens, and computational biology. We strive to develop novel genomic and
-
). The candidate will design and apply integrative data analysis (computational/statistical/causal) and visualization techniques for multi-omic (transcriptomics, mirnomic and proteomics) data to address research