The Transdisciplinary Program in Computational Biology aims at training Biomolecular Sciences Ph.Ds with complementary competences in Computational Biology to enhance their ability to work in
Month: May 2021
We are currently recruiting postdocs, and we are looking for people with an interest in computational or mathematical biology. Those with a background in related
Applicants must have a PhD in Neuroscience, Biostatistics, Mathematics, Physics or related discipline, experience with scientific programming (R, Python and MATLAB) and computational biology, ideally
Your experience will include: PhD, BSc or MSc Bioinformatics, Computational Biology, or a related technical field Practical experience analysing DNAseq data Demonstrated fluency in a
Master’s degree in computer science, bioinformatics, or related field required with 6 years of experience in computational biology, bioinformatics. PhD. is preferred Hand-on experience with
Qualifications PhD or equivalent experience in Computer Science, Statistics, Computational Biology or related fields Demonstrate experience applying machine learning problems in genomics or protein structural
Qualifications Minimum of Bachelors degree (Masters or PhD preferred) in Bioinformatics, Computer Science, Computational Biology or related fields Strong track record of building NGS analysis
Qualifications Required: Master’s degree in Bioinformatics, Biology, or related field. A PhD is a plus but not required. 7 or more, combined years of experience, in genomics,
Qualifications The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job successfully. Required: PhD in Computational Biology, Bioinformatics
Candidate should: hold a doctorate within a, for the employment, relevant subject (e.g. bioinformatics, statistics, computer science, biology or genetics) or equivalent academic qualifications be