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an initial 3–6 months period in the lab at its currentlocation in New York City. This temporary placement will provide an opportunity to receive hands-on training in the methods important for the research
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methods to monitor metabolism and production performance in collaboration with industry partners. Support the strategic development of insects as a growing research area within the department. Further, you
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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are looking for applicants with interests in the biogenesis and turnover of nuclear RNA and its relationship to gene expression regulation in mammalian cells. Applied methods range from cell biological over
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disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160
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these technologies and methods into research and teaching. The successful applicant will be expected to develop research projects that result in peer-reviewed publications. The successful applicant will also be
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technologies. The postdoctoral researcher will perform operando and time resolved structural characterization of materials and devices during switching, combining methods such as laser pump and X ray probe
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results at international conferences Your profile PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Experience with programming in Python, R
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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are motivated to learn EV and small-RNA methods are explicitly encouraged to apply. Required qualifications PhD degree in Plant Science, Plant Physiology, Plant Molecular Biology, Microbiology or a related