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experience. Responsibilities Perform research in the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques. Contribute
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the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques. Contribute to the publication of scientific papers and presentation
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Postdoctoral Research Fellow, you will play a key role in advancing genetic research in weeds and plants, applying molecular techniques and statistical analysis to understanding the evolution of weed populations
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, including study design, data collection, statistical analysis, and dissemination of findings Provide support for grant writing, protocol development, ethics submissions, and progress reporting Conduct and
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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). • Required Skills: 1. Strong background in statistical mechanics and thermodynamics 2. Proficiency in first-principles calculations (VASP, Quantum Espresso) and molecular dynamics simulations (LAMMPS, OpenMM
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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extensive research experience) in a relevant quantitative discipline (e.g., health economics or a closely related discipline). They will have experience in using statistical or econometric methods
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and interpret experimental data using statistical and algorithmic methods. Track record of publications in peer-reviewed journals or conference proceedings. Demonstrated ability to work independently