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at least one of the areas of data privacy, machine learning is required. A successful candidate is expected to have a scientific and result-oriented approach to your work. A very good command of
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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, spinning disk, TIRF, STORM). Project description Our lab has developed novel chemo-optogenetic systems for controlling cellular activities by light with high spatiotemporal precision (Angew Chem 2014, 2017
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in controlling cell biology responses under different conditions. However, the precise mechanisms by which mRNA conformational changes regulate cellular stress responses remain poorly understood
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of the project The laboratory is mainly interested in RNA-biology and particularly to understand how regulatory RNAs function and control microbial virulence. In this project, we aim to identify small molecules
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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therapeutic strategies that efficiently target currently hard-to-treat ovarian carcinomas. Work responsibilities The successful applicant will independently perform animal experiments with human ovarian
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areas such as energy technology, laser spectroscopy, medical technology, and electronics and systems engineering. The Department is now seeking a postdoctoral researcher to develop fabrication process for
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climate interactions. Lake physical dynamics is crucial for ecosystem dynamics, as it governs key processes like energy balance, turbulence, and thermal structure, directly influencing ecological and
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to collaborate, are requirements for the employment. In the selection process, primary importance will be given to research expertise. When ranking the candidates, importance will be given to: The applicant's