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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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. The PhD project is part of an interdisciplinary collaboration with the University of Bayreuth (EASI lab, led by Prof. Dr. Lisa Hülsmann). Main responsibilities include joint field work to establish an in
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for the Endorsed Funder Route of the Global Talent Visa. We can provide an interest free loan scheme to support applicants who need to apply for a visa. Please contact Prof Yujiang Wang yujiang.wang@newcastle.ac.uk
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network in adversarial situations? How to model the military supply logistics concepts taking into account adversarial actions? What are optimal and robust network topologies for a supply logistics concept
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modelling, starting as soon as possible. The position is funded for 36 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13. This is a part-time
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
. Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer
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approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with
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underwater communications is necessary. Conventional approaches in underwater communications only develop fixed models based on human knowledge or understanding which cannot fully cover the highly dynamic and
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range of advanced functional genomics methods, particularly single-cell technologies, in pre-clinical model systems such as cell lines and patient-derived tumor organoids as well as patient samples