113 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" positions in Finland
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the viewpoint of end-use across this plethora of humanistic research, e.g. through matching approaches to research questions and data, and not as a focus on methodological development itself. The lecturer will be
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opportunity to develop your professional skills in a versatile operating environment. In your work, you will be part of a large group of doctoral researchers, other researchers, and supervisors in the doctoral
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asset. Why work for us? We offer you a diverse and challenging position supporting top-level research in an international work community. You will have the opportunity to develop your skills as part of
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, inclusion, and well-being. Group members have ample opportunities to develop both technical and transferable skills—including programming, data visualization, communication, networking, and leadership
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for the duration of the project, access to modern laboratory facilities, and strong support for professional development, including the possibility to attend international conferences and training courses. In
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Control Strategies for Autonomous Driving (HUMINAC). The project focuses on developing novel, human intention–aware control strategies at the intersection of machine learning, reinforcement learning, and
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manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use
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you responsible and interesting tasks and the opportunity to develop your professional skills in a versatile operating environment. In your work, you will be part of a large group of doctoral
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acquired extensive knowledge of modern and applied molecular medicine, developed skills to critically interpret research data, and master key research methods relevant to their research. Thoroughly
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze