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Job Description Are you passionate about artificial intelligence, bioinformatics, food safety, and creating real-world impact through cutting-edge technology for improving food safety? Do you want
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optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g., term rewriting) to algorithmic optimizations (e.g., group level algorithms), and to hardware
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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
candidate who is eager to unravel complex disease mechanisms. You have: A Master’s degree in neuroscience, bioinformatics, biomedical sciences, or a related field. A strong interest in transcriptomics, brain
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, we would like to study its localisation within the nucleus, its interaction with other proteins, and the pathways of its recruitment to hotspots and FE in different mutant contexts. The localisation
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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analysis as well as bioinformatic analysis of microbial communities. Qualifications: The candidate should hold an MSc degree in biology, ecology, microbiology, plant pathology, or a related subject
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cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate
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work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g
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. Your work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g
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and field conditions. The practical work also includes culturing oomycetes and plants, sampling for molecular and microbiome analysis as well as bioinformatic analysis of microbial communities