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qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic epidemiology
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in molecular and bioinformatics studies, animal welfare indicators and/or nutritional chemistry. • Excellent technical report and scientific writing skills in English. • Experience in laboratory
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validations. What we are looking for PhD (or MSc with research experience) in AI, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as
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, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in English for oral and written communications. Experience with bioinformatics and high-throughput approaches
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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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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mice as model systems and combine molecular, cellular, developmental and bioinformatics approaches to establish how chromatin regulators reshape the epigenome and regulate cell fate during development
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required