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Field
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
develop state-of-the-art theoretical and computational methods to model strong light–matter coupling in and out of equilibrium, across gaseous, liquid, and solid-state systems. Key responsibilities The PhD
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in hand by 12/2025. Postgraduate experience with protein-ligand interaction
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through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a team environment
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researchers, 4 PhD students, 2 technicians and 8 Adjunct Professors (20% position). The research within the department is focused into two groups: sea-ice-snow-air processes and space physics. About the
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ecosystems Experience with host quantitative/statistical genetics (heritability, GWAS…) Education and training You hold a PhD in metagenomics Languages You are fluent in English Competences Structured
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quantitative research through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a