21 parallel-processing-bioinformatics-"Multiple" positions at Nature Careers in Sweden
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treat them. The Institute is composed of the following four departments: The Department of Infectious Diseases The Department of Microbiology and Immunology The Department of Medical Biochemistry and Cell
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community for interdisciplinary research and breakthrough discoveries. You will have access to two PI:s that you can meet and interact with to facilitate the research process and increase the synergetic
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
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repertoire sequencing to examine vaccine-induced antibody and B cell responses in rituximab-treated multiple sclerosis patients across three doses of the BNT162b2 mRNA vaccine. The goal is to identify key
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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position is part of a tenure-track process, initially limited to 3 years, with the possibility of extension for up to 5 years. During this time, you will have the opportunity to further develop relevant
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related field, with a focus on computing or data science. Additional requirements are: Significant experience in bioinformatics, genomics, computing, machine-learning, or other data science area
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep