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. Expertise is required in the specific area of Alzheimer's Disease and related dementia, genome-wide association study data processing and analysis, and whole genome/exome sequencing. Applicants must have a
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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Immonuprecipitation (ChIP); Genome editing, e.g. to (degron) tag proteins of interest; Bioinformatic analysis of generated sequencing data. During your PhD, you will learn about the field of gene regulation, expand our
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Setup a knowledge graph in neo4J for microbiome research Integration
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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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unique opportunity to acquire a very broad skill set of biochemical, biophysical, bioimaging and molecular techniques, combined with diverse data analysis and bioinformatics skills. The project would suit
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. Daily activities include coding, data analysis, simulation modelling, and collaboration with industry partners. Some travel to manufacturing facilities and conferences may be required. This funded PhD
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on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts
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methods for analyses of large-scale genomic data such as genome-wide analyses, polygenic prediction, Mendelian randomization, functional bioinformatical follow up and network analysis. The project will
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in engineering. Candidates with the following knowledge and skills will be given priority consideration: Thermal energy storage or techno-economic analysis Heat transfer and heating/cooling systems