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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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compared with observations, offering a powerful way to test our theories. The combination of novel AI methods and broad statistical analyses will help us pinpoint the exact roles of solar flares and coronal
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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms
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cytometry, other immunological methods and mouse colony management is required. The applicant should have the ability to work productively both independently and as part of a team. The position is available
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of the University salary system for teaching and research personnel and includes a component based on personal performance. Standard Finnish pension benefits, occupational health care, and opportunities
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, infrastructure regulation, trade) Interest in the geopolitics of cloud infrastructure or digital sovereignty Strong collaboration and communication skills Basic knowledge of quantitative methods (e.g. multiple
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level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The starting salary
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researcher will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based
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scheme for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee shall be paid a salary component based on personal work performance The doctoral
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empirical, experimental and theoretical methods, together with world-class administrative data on individuals and firms. Some of the work is done in collaboration with revenue authorities, also in African