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. You will work very closely together with your dry-lab colleagues for the design of synthetic promoters and data analysis. What we are looking for PhD in (Plant) Biotechnology, Molecular Biology
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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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of personalized solutions we offer. Welcome to the UKE. PhD position / Postdoc position (all genders) in AI for biomedical data analysis Part time | Temporary | Hamburg Eppendorf UKE_Zentrum für Molekulare
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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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interpretation of OMICs datasets (DNA, RNA, proteome) Supervision and technical guidance of Bachelor’s, Master’s, and PhD students, as well as technical staff within the project context Participation in teaching
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be highly encouraged and supported. Minimum Education and/or Training: Requires a PhD degree in biomedical research and bioinformatics data analysis training Special Skills, Knowledge, and Abilities
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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on the Liang lab, please visit: https://www.wistar.org/our-scientists/chengyu-liang/ Recent PhD graduates from related fields with a record of peer-reviewed publications, strong laboratory experience
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting