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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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of Potsdam, Germany and/or Anath Genomic Consultants AB in 3rd year of PhD, up to 3 months Requirements: Bachelor’s or Master’s degree in biology, molecular biology, bioinformatics or in related sciences
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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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hub in the context of metabolic diseases, such as MASLD and cardiovascular diseases. For this, we apply a range of single cell genomics technologies on clinical biopsies combined with bioinformatics
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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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experiments as well as bioinformatics and advanced imaging techniques. Your core tasks are: Cloning and expressing recombinant proteins. Developing and optimizing purification protocols. Designing and
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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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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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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both