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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: MPIDS-W092 Job Offer from July 28, 2026 In the Department of Living Matter Physics (LMP) we seek to fill several Postdoctoral Researcher positions - Statistical Physics and Active Matter
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of four substantive research pillars and a work package on knowledge transfer. This vacancy concerns a postdoctoral position within Pillar 4. You will work closely with the PhD candidates in the other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, implementation, and oversight. Working closely with field research teams and collaborating investigators in Uganda. Conducting statistical analyses and interpreting clinical trial data. Preparing abstracts
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. Highly developed communication skills: verbal and digital. Minimum Qualifications PhD in genomics, phylogenetics, (bio)informatics, or related discipline with at least one year of experience in phylogeny
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animal welfare, safety, security and compliance. Department Specific Qualifications Education: PhD or MD degree PhD in Chemistry, Biomedical Engineering, Materials Science or related field with emphasis in
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integration approaches Additional Information Eligibility criteria Mandatory: *PhD in Statistics, or a related field. *Strong programming skills (e.g., R, Python, or similar). *Knowledge of statistical analysis
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: Design and conduct laboratory experiments. Characterize materials using advanced analytical techniques (XRD, SEM-EDS, ICP-OES/ICP-MS, FTIR, Raman and thermal analysis). Process and statistically analyse
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currently are all working on other NIH funded projects. Education Requirements: A PhD or MD degree in relevant field. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful
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new graduate students and other lab personnel • Assure research is carried out in compliance with local policies and safety guidelines Qualifications: A PhD in the Biomedical Sciences or related
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution