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of metabolic network modelling linked to epigenetics Carry out machine learning, and integrative analysis of large epigenome datasets Communicate research results in international conferences and journals Work
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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diverse, international, and multidisciplinary research team • Opportunities to collaborate with scholars of different levels and with communities in six countries • We also offer a supportive learning
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are looking for a motivated PhD student, who under the supervision of Dr. Sonja Pullen and Prof. Joost Reek will work on the integration of homogeneous catalysts with gas-diffusion electrodes for selective
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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knowledge of Microsoft Word, Excel and PowerPoint. You have experience in, or are willing to learn MATLAB. You hold the FELASA B certificate, or international equivalent or you are willing to follow a
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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the HomKat-group which is at the forefront in the field of supramolecular catalysis, we are looking for a motivated PhD student, who under the supervision of Dr. Sonja Pullen and Prof. Joost Reek will work
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diversityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity