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Field
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, critical in the design of plasma confinement devices. Modus operandi in the project is to make progress on these difficult question via structure-preserving numerical methods (cf. "matrix hydrodynamics
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methods (cf. "matrix hydrodynamics") along the lines recently developed at the mathematics department. Who we are looking for The following requirements are mandatory: To qualify for the position of postdoc
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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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services or other similar circumstances, as well as clinical service or service/assignment relevant to the subject area. We are seeking candidates who meet one of the following criteria: A PhD in Software
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appropriate treatment—ultimately saving lives. We are particularly looking for applicants with experience in prediction models and biomarker evaluation, causal inference, longitudinal methods, survival analysis
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learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will have great impact in academia and
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will involve various materials and electrical characterization methods (potentially including electrochemistry, multiple microscopy modalities, optical and IR spectroscopy, rheology) as well as surface
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fidelity is experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in
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analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience