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– Integrative Genomics Core Unit (NIG), we are seeking a highly motivated scientific staff member with expertise in the bioinformatic analysis of next-generation sequencing (NGS) data. Your tasks development
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, and related bioinformatics and statistical analysis techniques. How to Apply: Send your CV, research statements and name/contact information for three references to attila.losonczy@gmail.com. Review
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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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About the Role: We are seeking a highly dedicated and skilled scientist with a PhD in Spatial Transcriptomics, Spatial Proteomics, Bioinformatics, Neuroscience, Biochemistry, or Bioengineering
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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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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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Healthy Lifespan,” “Computational Life Sciences,” and “Innovation in Drug Research.” The tenure-track professorship will be located at the intersection of these areas and will contribute bioinformatic
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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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areas of aging, genomic medicine and bioinformatics, obesity and metabolism, healthcare delivery and policy (including AI), cardiovascular disease, sleep disorders, rheumatology/immunotherapy, infectious
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of bioinformatics, biology, or related fields - M.Sc. is required. Key qualifications and qualities include: Experience in bioinformatics/computational biology; experience in protein structure prediction is