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Field
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: A Master’s degree (or will graduate before appointment date) in Ecology or Environmental Science; Strong statistical analysis and technical skills; Proficient in the application of spatial analysis in
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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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experience working with rodents in the field of microbiome, molecular biology and cell culture; knowledge of microbiology, chemistry, mathematics, statistics, documentation, records management, data
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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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to complex with increasing independence Record data and analyze results using basic statistics Perform tasks related to zebrafish husbandry, DNA/RNA microinjection, tissue harvest, and microscopy Use standard
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dynamics and statistical physics. The BBGK equation is the governing equation for hypersonic, rarefied flow problems in aerospace and microfluidics, where the continuum and equilibrium assumptions of Navier
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Laboratory techniques for sample preparation Analysis of mass spectrometric datasets and statistical calculations Contribute to in vitro analyses Contribute to carrying out animal experiments Contribute
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. Your tasks identify relevant satellite datasets of irrigated areas, as well as of hydrometeorological, land surface and vegetation variables apply modern statistical methods on these datasets to detect
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chemistry, statistical mechanics, or related fields Good English language – spoken and written Nice-to-have: Experience with molecular dynamics simulations (with GROMACS, CHARMM, NAMD, AMBER, LAMMPS, etc
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registries (the Public Health Agency of Sweden, the National Board of Health and Welfare, Statistics Sweden, and the Swedish Social Insurance Agency). The position involves close collaboration within the group