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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
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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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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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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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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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organized, able to handle long-term and labor-intensive experiments Analytical and critical-thinking, with attention to detail Flexible and eager to learn, especially in interdisciplinary contexts
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organized, able to handle long-term and labor-intensive experiments Analytical and critical-thinking, with attention to detail Flexible and eager to learn, especially in interdisciplinary contexts