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://www.hogberglab.net/ ). You will contribute to the ERC Advanced Grant project qScope , where you will create and improve existing bioinformatic tools and network algorithms to help us to map RNA or protein molecules in
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experience in bioinformatic analysis (bulk RNA-seq, scRNA-seq, proteomics) Excellent teamwork and communication skills Solid experience with flow cytometry and fluorescence-activated cell sorting (FACS) FELASA
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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(bioinformatics) present results at group meetings, seminars and conferences and contribute to high-quality publications Your qualifications you are a motivated and enthusiastic scientist who can work independently
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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assembling and analysing chromosome-level genomes Experience identifying genomic targets of selection Excellent molecular biology lab skills Excellent bioinformatic skills At least one peer-reviewed
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contact Prof. Dr. Antonio del Sol (email address: ). Your profile Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines Strong computational skills
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the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
, IMPREG signature) for precision immuno-oncology panels. Preferred qualifications: Ph.D. in bioinformatics, computational biology, computer science, statistics, or a related field. Strong programming skills