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Field
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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and cellular biology, assist in sorting platform development, perform molecular and in vivo characterization of sorted cells, analyze large-scale bioinformatics datasets to identify novel cell subsets
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abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen@health.sdu.dk
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flexibility for weekend/evening hours as required for experiment needs. Qualifications Minimum Qualifications: Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, or a related field
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, preparing manuscripts, drafting and submitting competitive internal and external grants Perform other duties as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics