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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team
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, photon science, materials science and ultrafast X-ray science. What these data challenges have in common is that they cannot be addressed with standard computational methods but rather require modern data
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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expenses are estimated to range from approx. 900 EUR to 1,400 EUR per month. Funding opportunities within the university Yes Description of the above-mentioned funding opportunities within the university
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise in analytical theory from
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three lab courses. These method-based courses last up to five days and constitute an important element of the study programme, with students receiving intensive training in the latest methods and
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required to take part in at least three lab courses. These method-based courses last for up to five days and constitute an important element of the study programme, with students receiving intensive training
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the development of sensitive quantitative assays for in vitro and in vivo approaches; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal