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Field
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(for Research Fellow) or equivalent experience in bioinformatics, computational biology, statistics, genetics or a related field Demonstrated experience in transcriptomic data analysis and relevant bioinformatic
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Qualifications A PhD in biology, chemical biology, ecology, environmental science, conservation biology, or a related field by the time of appointment. Strong experience in marine biology, evolution, development
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challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers
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to: rhizosphere and phyllosphere microbiology microbial evolution molecular and/or structural aspects of plant-microbe or plant-fungal interactions the molecular biology of soil-dwelling bacteria or fungi
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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and contribute to evolving methodologies. Present findings to academic and industry stakeholders. Job Requirements: PhD in Biomedical Engineering, Biochemistry, Biology, Chemical Engineering
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through cutting-edge research. Join Dr. Marcel van den Brink’s multidisciplinary team to explore innovative ways to decipher the molecular mechanisms by which the microbiome contributes to the biology of
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of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a
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the Department). The position is funded by the University of Bergen. The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology
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of Bergen. The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit. The position is affiliated to theproject Life