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experience in Molecular Microbiology, Microbial Genomics/Metagenomics, Culture-based Microbiology, Bioinformatics or Quantitative Data Analysis is an advantage; applicants are not expected to be experts in all
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to simultaneously learn control policies and safety certificates—mathematical proofs that control decisions are safe. Data from system operation provides evidence that both the control and the proofs
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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evolution, chemistry and morphology. This project will investigate how machine learning can learn physically meaningful representations directly from these data and help understand how materials evolve during
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assistants in all aspects of their work - subject recruitment, coordination, and communication - writing IACUC and IRB protocols - organizing data collection, performing and cross-checking data coding, and
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that explain why some repeat RNAs are toxic while others are not. Your responsibilities include: Independently conducting experimental work and performing data analysis; Presenting your progress in regular team
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carbon properties influence PFAS removal in drinking water treatment. You will combine laboratory experiments, column studies, and data analysis to identify the factors governing PFAS breakthrough
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direct value for science, businesses, and policymakers through practice-oriented analyses and innovative, data-driven solutions. Yourprofile · Master'sdegreeinbusiness/management,datascience,psychology
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 10 days ago
package including a motivation letter, CV, and transcript of records to Dr. Hanna Hinrika Cramer ([email protected] ) by October 23, 2026. Further information about the position can be requested by email