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Field
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Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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ecological challenge and substantiating a critical tool for water resources management, this project offers a great pathway, equipped with tools, data, and mentorship. Research goals: Develop a numerical
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learning, e.g. using JAX, based on numerical models such as Higher Order Spectral method, mcsimpy, etc. Collect real metocean data from relevant online databases, datastreams such as from R/V Gunnerus, and
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. using JAX, based on numerical models such as Higher Order Spectral method, mcsimpy, etc. Collect real metocean data from relevant online databases, datastreams such as from R/V Gunnerus, and experimental
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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the UK Lead on participant recruitment and conduct qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and
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organisation. The hallmark of research is the combination of organismic, evolutionary, and molecular biology utilising a wide array of methods. Neuroscience Neuroscience is one of the most rapidly developing
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mandatory core focus, the PhD position allows room for the individual research interests of the applicant to shape specific aspects—whether in modeling strategy, applied machine learning methods
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have the knowledge and abilities necessary for such endeavours as well as being theoretically and methodically competent in relation to the subjects at hand. Language requirements Candidates must be
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knowledge of numerical techniques and advanced simulation methods (ANSYS Zemax OpticsStudio) is a plus. • You are expected to be able to carry out the research activities independently and in a critical