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degree in computer science, machine learning, bioinformatics, or related. It is a merit if: You have a high professional ambition level combined with a kind and collaborative attitude. Very good
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related to the analysis of immune receptor repertoires and adaptive immune receptor germline gene identification. Your profile You have recently completed a master program in a relevant subject, with prior
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or if anything goes wrong. Previous experience from experimental work is a merit and we prefer if you already know how to pipet biological samples in a sterile environment. Good computer skills and knowledge
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selection experiments, nanopore sequencing and characterization of binding affinity. The project can also include computational techniques such as analysis of sequencing data and 2D and 3D simulations of DNA
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in computer science working in the command line and R/Python Have the ability to understand and communicate in English in order to work independently As a person, we look for you to be motivated and
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on neurodevelopmental and mental health. We use state-of-the-art in-vitro cell culture models of the brain and placenta and human cohorts in combination with state of the art imaging and computational biology techniques
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of four years of full-time doctoral education is required. The research group We are opening a PhD student position in computational developmental biology and stem cell research at Adameyko lab (Karolinska
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vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical
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computational tasks, developing and applying methods for handling, quality control, and analysis of extensive datasets as well as scientific writing and presentations. You will be supervised researchers who
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computational biology as well some basic knowledge on cancer genetics. The project entails analysing next generation sequencing data from liquid biopsies from cancer patients. The tasks will specifically consist