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be submitted after an appointment is made and the supervisor(s) will help with this procedure. The candidate must be enrolled as a PhD student within 3 months of the start of employment. The ability
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Fagan Application Deadline: Applications accepted all year round Details Background: Clostridioides difficile is the leading cause of healthcare-associated infections and is notoriously difficult to treat
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related field (or equivalent experience). 4 years related experience. Unix skills. Experience with scripting and automation (e.g., R, Bash, Python) Understanding of the principles of computer clusters
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administrative duties within the department, faculty and university. The department uses Swedish and English in parallel. The professor should be able to perform the majority of their tasks in English. However, as
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. At least 4 years hands-on experience in an EM laboratory Ability to organize and execute several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of
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the Pharmacist and/or Pharmacy Department whose technical duties parallel those of the Pharmacist and are performed under Pharmacist supervision. The Pharmacy Technician has primary responsibility in
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of the computing infrastructure that powers both data and computer intensive research. From high-performance computing clusters and parallel storage to data management and automation tools, you’ll help shape and
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. This stems from a fundamental lack of understanding of the basic biology underlying this process. While flies have emerged as powerful tool to investigate tumour growth and identify cancer related pathways
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
protective human gain-of-function gene variants. Supporting the group with (sc/sp) RNA-seq analysis and multi omics integration. Assist with implementation of paralleled microRNA/mRNA single-cell seq like
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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of