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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
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harvest “big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy
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to conferences For more information concerning this position, please contact Prof. Bertinelli, email: Your profile We are looking for a candidate with a PhD in economics, preferably with a specialization in
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traits. A NIDA-funded study concentrates on cannabis use genetics and PRS prediction of response to THC in a laboratory paradigm, and an NIMH study focuses on depression and anxiety genetics in large
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motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the
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azoospermia working with large-scale genomic datasets Functional characterisation of genetic variants in Drosophila utilising CRSIPR/Cas9 Supervising and training of students (PhD, MD, Master
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied