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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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University require the ability to collaborate and the general ability and suitability to perform one’s duties. Assessment criteria In the appointment process, special attention will be given to research and
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for the position: Experience with mammalian cell culture and associated techniques. Experience in high throughput sequencing. Experience in custom processing of high throughput sequencing data. Experience in
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grades Copy of publications (if any) or degree thesis. Contact information for 2-3 references (can also be provided later during the recruitment process). Other documents the applicant wishes to submit
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, behavioral testing, and the analysis of behavioral and neurophysiological data. Previous experience in one or more of the following areas will be considered a strong merit: Design, fabrication, and chronic
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to enable scalability. The work will draw on concepts from dynamical systems, stochastic processes, and stochastic differential equations (SDEs), including nonequilibrium systems, to model cellular behavior
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techniques - Analyse gut microbiota composition using state-of-the-art methodology - Use advanced data processing services to perform bioinformatic analysis - Compile and present
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own way, shaped by the sensory systems it uses to detect and interpret the environment. Nikolaev lab investigates how vertebrates sense and process environmental signals across scales, from molecules
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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preparation Contribute to the generation, processing and interpretation of genome-wide datasets Integrate experimental results with computational analyses Develop reproducible workflows for experimental and