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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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analysis of metabolites; process and evaluate experimental data; develop and validate analytical methods; prepare scientific manuscripts; collaborate with internal and external researchers; Where to apply E
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of bacterial genomes and comparative genomics across different strains. * Bioinformatic analysis of genomic data and identification of genetic variants associated with the observed phenotypes. * Integration
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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, including water, CO₂ and nitrate electrolysis, with a particular focus on improving experimental workflows and enabling reliable, high-throughput data generation and analysis. Project PID2025-172289OB-I00
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expertise in data analysis and statistical modelling. Where to apply E-mail [email protected] Requirements Research FieldPsychological sciences » Cognitive scienceEducation LevelPhD or equivalent
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Principal Investigator of the OrDOTime project, and a collaborator on the project. Literature review, design of behavioural experiments, data collection, data analysis, writing scientific articles
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, the fellow will lead the development and execution of advanced functional and distributional data analysis techniques. This role requires independent analytical acumen to design simulation studies, process
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Website https://jobs.dkfz.de/en/jobs/168860/postdoctoral-researcher-computational-trans… Requirements Additional Information Website for additional job details https://jobs.dkfz.de/en/jobs/168860
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Quantum Readout of Physical Unclonable Functions; Use of PUFs in quantum-cryptographic protocols. Information The project focuses on the use of PUFs as a physical authentication credential, and in