Sort by
Refine Your Search
-
employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the
-
120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. The department also participates in the Wallenberg AI, Autonomous
-
working with Cryo EM Experience supervising / co supervising Masters / PhD students Experience of multi-disciplinary collaboration and teamwork Evidence of ability to work independently Preferred
-
-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
-
. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
-
investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
-
professional experience and knowledge. Brief letter of motivation describing why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages
-
experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software
-
steps in workflows and implement optimisations to maximise yield and data quality Gain experience in interpreting sequencing data and performing quality control in close collaboration with computational
-
a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging data and multimodal datasets combining imaging and molecular