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for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
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of the novel methods created within our research group. Your primary tasks will include: - Assisting in the research taking place in our group. - Collaborating with our researchers to translate new algorithms
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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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. This collaborative project between the Quantitative Biosciences Institute at the University of California, San Francisco (QBI-UCSF) and Freie Universität Berlin, funded by the Einstein Foundation Berlin, aims not only
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adsorption of guest molecules in the pores, ionic conductivity and (opto-) electronic properties of these functional films as well as their applications, e.g. for molecular separation and as unique sensors