228 parallel-processing-bioinformatics-"https:" Postdoctoral positions at Nature Careers
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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engineers – on average 10 people - led by Magdalena Calusinska, dedicated to advancing microbial biotechnology through multi-omics approaches, bioinformatics, and process optimization. As post-doctoral
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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. We are looking for a highly motivated and ambitious candidate with an interest in quantitative methods, bioinformatics, clinical neuropsychology, and network theory of psychopathology. The candidate
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increasing independence over time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process
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of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
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will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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) | Institute of Molecular Oncology and Functional Genomics Our research is focused on gene discovery, functional gene annotation and signaling in cancer. We study biological processes, such as malignant