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with others, has been making use of these methods to study their applications and limitations in diverse areas of structural bioinformatics (Akmed et al. NSMB 2022). We have applied AlphaFold2 in large
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microbiome bioinformatics and/or metagenomics to join our team. Job description You will join a collaborative team of scientists who develop and use molecular, deep sequencing, and bioinformatics methods
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. Training of IMB members in relevant areas of bioinformatics/computational biology. The candidate supports the training of PhD students and postdocs by organising individual sessions and regular teaching
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Bioinformatician 100% The Bioinformatics Core Facility at the University Basel is seeking a Ph.D. level bioinformatician. The facility is a centralized resource of expertise for the analysis and
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profile Qualifications: Recently completed Master's degree in Computer Science, Data Science, Machine Learning, Electrical and Computer Engineering, Computational Biology and Bioinformatics, Health Sciences
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Postdoc position on ultra-long read sequencing for animal epigenomics, transcriptomics, and genomics
. You'll be able to acces ONT and PacBio technologies to generate data. You will be responsible for the bioinformatic analysis of the generated data. You are encouraged to make use of the wealth of (epi
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, viral gene transfer, multi-parameter flow cytometry, in vivo experiments, NGS-applications and bioinformatic data mining. Highly motivated with a genuine interest in cancer research. With a curiosity
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Institute for Research in Biomedicine, Università della Svizzera italiana | Switzerland, | Switzerland | about 1 month ago
funded by a Sinergia grant from the Swiss National Science Foundation (SNSF) and will be carried out in a laboratory affiliated to the Swiss Institute of Bioinformatics (SIB). Preferred starting date is 6
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Zurich. The student will be additionally affiliated with the Swiss Institute of Bioinformatics. We live a culture of inclusion and respect. We welcome all people who are interested in innovative
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: PhD in computational biology or related field Background in computational biology, bioinformatics or a related field Strong programming and statistical knowledge, including machine learning Excellent