22 big-data Fellowship positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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disease and related dementias by integrating large-scale human genetic data with phenotypic, environmental, lifestyle, and registry-based information. The postdoctoral fellow will contribute to data-driven
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medicine in neurodegenerative disorders. The ResiliDem project aims to identify resilience and risk factors for Alzheimer’s disease and related dementias by integrating large-scale human genetic data with
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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary
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expertise in a relevant field. It is desirable to have experience in handling large data, ideally biological, and programming to automate tasks. Your expertise should be at a level appropriate for the conduct
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submitted at any time. For information about eligibility and selection criteria and application open and closing dates, see: Humboldt Research Fellowship - Alexander von Humboldt-Foundation The information
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single parents with children accompanying them allowance for research costs to be paid to the hosts extensive alumni sponsorship Application Papers All application forms and further information
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allowance for fellowship holders travelling from Spain. Application Papers A link to the application forms and further information can be found here Application Deadline Application deadline is 10 January
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extensive alumni sponsorship Application Papers Links to the application forms and further information on the application procedure can be found here . Application Deadline Applications can be submitted
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allowance extensive alumni sponsorship Application Papers Detailed information on the application and selection procedures can be found here . Application Deadline Applications are possible at any time. The
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because of climate change. Working alongside the PI and local academic partners, the postdoctoral fellow will then oversee data collection, which is expected to involve interviews, survey questionnaires