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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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adipocytes to brown adipocytes A minimum commitment of 5.5 working days per week is required Requirements A Ph.D. degree, preferably in Biology, Biomedical Sciences, Multi-omics, or Bioinformatics A strong
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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large-scale power system simulation and model reduction techniques. • Hands-on experience with EMT/Phasor-domain-based power system transient simulator development. • Knowledge of parallel and
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. For the candidate, this will involve prodigious training opportunities: State-of-the-art tools/skillsets in epigenetics and bioinformatics (NGS techniques + systems approaches) and access to core equipment such as
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of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise
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of Plant Biotechnology and Bioinformatics, Ghent University, Belgium (PhD degree affiliation) KR01 – Department of Environmental Technology, Food Technology, Molecular Biotechnology, Ghent University Global
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cell culture and cellular assays. • Strong skills in experimental data analysis, bioinformatics tools, and statistical analysis. • Knowledge and compliance with current health and safety regulations in
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specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise. This will include the development
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding