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Department: Hamilton Institute Vacancy ID: 040143 Closing Date: 08-Mar-2026 Applications are invited for a Senior Research Fellow position in the fields of DNA computing, DNA data storage and DNA
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 21 hours ago
evaluation, active ingredient sameness demonstration, and post marketing safety surveillance. This Division coordinates modeling, simulation, data analysis and data mining, and establishes the scientific
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on respiratory disease in a longitudinal perspective. It will be based on data from a large cohort of individuals extending back to 1990 from the Respiratory Health in Northern Europe (RHINE) study, as
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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that describes how its research plan will contribute to the relevant WP and the overall project. Documented experience with empirical research and the handling of empirical data. Good cooperation skills Preferred
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non-student applicant, you will need to put N/A or random numbers in the mandatory student information sections. Description of the Group The post holder will join the Supramolecular and Bioinorganic
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targeting translation inhibitor sensitive RUNX1 mutations in chronic myeloid leukaemia’. You will work independently to produce high quality experimental data in the laboratories of the Biochemistry
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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or more. Selection Applications are reviewed and selected by a DAAD selection committee. The approval of the K.C. Wong Education Foundation is then required. Further information The DAAD will not consider
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. Qualifications Preferred Skills Analysis of shotgun metagenomics sequencing and metabolomics data Integration of single-cell RNA-seq with proteomic and metabolomic datasets Application of machine learning and AI