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) research group and contribute to ongoing and forthcoming research projects funded through national and European programs. The PhD project will focus on the design, analysis, and evaluation of the behavioural
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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from
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of biodiversity changes and conservation strategies, as well as quantitative analysis methods and examples of modern approaches in fundamental research. The university teacher selected for the position will be
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researcher to strengthen our work in point process methods and spatial point pattern analysis within internationally impactful research projects. Job description The researcher will contribute to developing
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interface materials and bonding parameters for individual GaN chips. Characterize the bonded samples using mechanical, electrical, and thermal analysis methods to assess bonding quality and identify
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The logic and learning (LOL) group is recruiting a PhD student funded by ELLIS institute Finland. You will work with Associate Professor Andrew Cropper . We work on combining logical reasoning and
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multiphysics approaches and ionic in-body communication instantiated by dedicated microelectronic hardware. Preclinical in-vitro and in-vivo testing of devices and methods will allow real world validation
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related
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using methods such as Dynamic Mode Decomposition with control (DMDc). You will also assist in the development of predictive control approaches based on reduced-order models, and contribute to workflow
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methods and software development. The objective of the Unit is to balance basic and industrially applicable research, having both performed with excellence in each of the research areas. The positions will