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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning
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, scATAC-seq), spatial transcriptomics and high-throughput imaging, thus a keen interest in learning single cell/spatial data analysis is critical. Your profile: You hold a PhD in Biology, (Bio)medical
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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approach to develop chemical probes, investigate biological mechanisms, and evaluate in vivo efficacy. In particular we use the promiscuous pregnane X receptor (PXR) and constitutive androstane receptor (CAR
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. In particular we use the promiscuous pregnane X receptor (PXR) and constitutive androstane receptor (CAR) as models. PXR and CAR transcriptionally regulate cytochrome P450 3A4 (CYP3A4) and CYP3A5-drug
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industry, and the lab maintains a strong commitment to the long-term development of its members. Candidates should hold a PhD or MD/PhD in a relevant field and demonstrate evidence of scientific rigor
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, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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occasions to interact with the team there both remotely and in person. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in
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, or process engineering is therefore an advantage. Your profile The ideal candidate holds a Master's or PhD in Biological-, Chemical-, Process-, or Mechanical engineering, or a related field. The ideal