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design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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or scholarships to help support their salary will be highly recruited. PhD or MD with previous training in biochemistry or cell biology and possess exceptional computational skills. Baylor College of Medicine is an
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dynamic research environment Job Requirements PhD in Polymer Science or Materials Science Specialization in plastic compounding, carbon fibre reinforcement, and nanomaterials (graphene and 2D materials is a
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Computational Biology, Bioinformatics, or a related field At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration Familiarity with
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of reports/papers and present in international peer-reviewed conferences and journals. To be involved in the mentoring of PhD/Masters/FYP students. Job Requirements: Preferably PhD degree in computer science
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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and postgraduate students. The School is also responsible for the supervision of ~120 PhD students, reflecting research strengths and expertise in the disciplines of Animal Biology, Computational