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. Besides benefitting from interactions with local- and international scientists, you are expected to present your results at international conferences and workshops. Where to apply Website https
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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, Pseudomonas aeruginosa, and Enterobacter spp). Our goal is to make a difference in the development of next-generation strain-specific rapid diagnostics, and to help find potential drug/vaccine targets. We have
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Infrastructure? No Offer Description Are you curious about the mysteries of animal development and eager to uncover how tissues and cells behave in real time? If so, this PhD opportunity could be the perfect fit
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. An individual career development plan containing research and transferable courses, international research visits, mentoring and career activities, is also a central element. Please visit https://www.interact
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be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben
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Method (DG) for higher-order temporal discretisation. It is necessary to implement models of various Wells and impulse turbines. The project tasks are: Development of a simulation code in Julia
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. - Development of theoretical and statistical models that allow for the maximization of cosmological information from data such as galaxy surveys or similar. Gross annual salary: 18.269,64 € Link
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 days ago
: Comparative Analysis - Apply multiple analytical perspectives to critically examine the collected materials. Phase 3: Model & Method Development - Map findings onto established design processes and propose a
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data