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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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, single cell sequencing, and RNA-seq. Knowledge in bioinformatics for the analysis of sequencing data is preferred. The intent of these studies is to determine the immunogenicity of tumor associated
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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sequencing and bioinformatics, iPSC derived cells, tissue organoids and/or tissue slices, analytical techniques e.g. LC-MS, liquid scintillation, HPLC, MS, NMR. Administrative and Collaborative Skills
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literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Working knowledge of bioinformatics and hands-on experience with next
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techniques, bioinformatics, biochemistry, and analytical chemistry (HPLC, LC-MS). Learn more: Our benefits , where we prioritize your well-being and success to enhance every aspect of your life. Being a part
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classifiers Collaborating closely with bioinformatics cores and international project partners Mentoring PhD students and contributing to grant applications You will report to the Assistant Professor Xiang
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. Use of animal model systems to study hematopoietic engraftment. Engage in self-directed work with bioinformatic core to develop expertise in analysis of nascent transcription, CUT&Run and protoeomics
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different bioinformatic approaches to investigate and analyze omics data on immune response (central and peripheral) in people with Parkinson’s Disease, using both internally generated data as well as using
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in their career development. The role We are seeking a highly motivated candidate with experience in myeloid cell biology, onco-immunology, and / or bioinformatics. The successful candidate will work