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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
data science, bioinformatics, protein design, biochemistry, mass spectrometry, cell biology, molecular biology, genetic engineering, medicine or related fields. The successful candidate will join a
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. Skills and personal qualities Qualifications: The successful candidate should hold a Master’s degree in bioinformatics, computational biology, computer science, engineering, or a related quantitative field
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for their own academic further qualification What we are looking for You hold a degree in biology, (molecular) medicine, bioinformatics, or a related field You have experience independently conducting basic
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. We seek outstanding candidates with a Ph.D. in Computational Biology/Bioinformatics, Cell Biology, or related fields. The ideal candidate will have demonstrated expertise in computational analysis
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technologies in genomics, proteomics, bioinformatics, imaging, and more We are housed in the heart of Barcelona, with our science having privileged views over the Mediterranean Sea. Students enjoy a lively
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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are expected to reveal new mechanisms of genome instability, inform RS-targeting therapies, and open avenues for personalized treatment strategies. Your Profile Major in biology, bioinformatics, or related
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environment and uses state-of-the-art techniques spanning a broad range from immunology, cell and molecular biology, (spatial) single cell omics and bioinformatics. RESPONSIBILITIES: Design and conduct
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Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project, e.g. population genetics, computational biology, bioinformatics, biology, computer