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for an ICT Data Engineer who will help build and evolve the data foundations that enable reliable reporting, analytics and data-driven decision-making across the organization. About the role As an ICT Data
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Data Engineer who will help build and evolve the data foundations that enable reliable reporting, analytics and data-driven decision-making across the organization. About the role As a Data Engineer, you
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DNA/RNA quality control and next generation sequencing library preparation workflows and/or laboratory automation is a strong plus, but not needed You have well-developed analytical skills and must be
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
will be linked with STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics. STADIUS excels in combining fundamental and applied research. It develops mathematical engineering tools
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experience in at least one of the following: Cryo-electron microscopy Protein biochemistry and purification Kinase biology Strong analytical and problem-solving skills Excellent communication skills in English
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analytical and problem-solving skills Motivation to learn computational protein design methods Excellent written and spoken communication skills in English Ability to work both independently and
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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analytical and problem-solving skills Motivation to learn computational protein design methods Excellent written and spoken communication skills in English Ability to work both independently and
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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engineering, and computational biology, the bioinformatician will contribute to the implementation, automation, and scaling of NGS‑enabled analytics and AI‑driven nanobody–antigen structure prediction and