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. Neurodegenerative diseases are complex and multifaceted. The overarching goal of the project is to develop advanced statistical models and deep architectures that can contribute to improved ability to diagnose
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university's website about being employed at Lund University, Work with us . Work duties The postdoctoral researcher will conduct statistical analyses of high-dimensional data collected from healthy control
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statistical skills (e.g. statistical programming in R) Demonstrated skills in scientific publishing Ability to work in groups as well as independently Excellent oral and written proficiency in English. In
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, qPCR to measure telomere length, multiplex PCR to measure malaria infection) and using statistical tools to analyse large long-term data sets. Each year, there will also be several months of intense
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proficiency in English. Experience in data processing, statistical analysis, and scripting (ideally) in R. Ability to work independently while knowing when to ask for help. Ability to work in an extremely
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requirements, documented experience in the following areas will be considered as strong merits: Experience in behavioural analysis. Experience in statistical computing and the use of Python and R. Practical
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organic chemistry or biochemistry, and GC-MS analysis. Experience in transcriptomics and gene annotation. Experience in data processing and statistical analysis. Driver’s license. Assessment criteria
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, the duties consist of compiling and statistically processing the human biomonitoring data in studies of exposed populations and the general population. Some specific major projects will be about human exposure
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. experience in chemical and technological food analyses. in-depth knowledge of of statistical analyses. holding a driving licence for passenger vehicles (category B). good problem-solving skills and linguistic
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, clear communication, and accountability. Qualifications Requirements for employment are: PhD within Systems Biology, Bioinformatics, Statistics, Quantitative biology or a related discipline. Fluency in