1,847 data-"https:"-"https:"-"https:"-"https:"-"CNRS"-"AIix-Marseille-University" Fellowship positions
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papers that best represent the candidate’s writing capability and scientific contributions. Please submit the names and contact information for up to three references. Contact Information Patrick Slade
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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assessments • Data analysis, interpretation, and presentation • Preparation and review of safety narratives • Presentation to internal and external stakeholders • Professional communication including verbal and
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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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. Applicants are invited to contact Dr David D. W. Lui via email at david.lyu@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing
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sector, particularly in the area of quantitative analysis. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information
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that explore biological and behavioural factors influencing the onset, course, and response to treatment in young people with emerging mental disorders. Extensive collaborations with clinicians, data scientists
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simulations and develop control and data pipelines for acquisition, reconstruction, and visualization; provide measurement-driven feedback to the detector team; dissemination of results through publications
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data for research, behavioural science, implementation science/knowledge mobilisation, advanced evidence synthesis (network meta-analysis, individual participant data meta-analysis). We are seeking
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. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery