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of the extracts; LC-MS and bioactivity-guided isolation and structure elucidation of the purified metabolites Supervising and training students Maintain analytical equipment Cooperate with other large collaborative
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
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molecular biology (expertise in cloning is highly desired) We encourage applicants with a broad experimental-analytical interest, as the job holder will contribute both to the development of new methods and
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, Learning Analytics, Data Science, Cognitive Science, or a related field, strong scientific profile, with nationally and internationally visible research (shown by relevant publications) in fields highly
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-scale / high-throughput analyses. Your Role: Interest in physical, spectroscopic and analytics measurements and associated technologies Creative approach to developing and adapting analytical methods
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annotation Implement analytic workflow in a functional, user-oriented application (CLI) to deliver the workflow and models to the community Cooperate with third-party IT provider to implement user-oriented
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that might integrate spatial analytical methods Excellent command of the English language (written and oral) Strong organizational skills and ability to work independently Love for working in
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within a few months), for example in economics, social science or related field Excellent mathematical and analytical skills from fields such as mechanism design and optimal taxation Familiarity
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) infrastructures is advantageous Excellent analytical and problem-solving capabilities Proven track record of publishing in reputable scientific journals and at the leading conferences Ability to effectively work in
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(such as MEA) to assess the impact of disease mutations on neuronal biology Collaborate with bioengineers, material scientists, and computational biologists to leverage AI-supported analytical pipelines