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, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en ), was created. We are looking for an industry/collaboration-based PhD student in remote sensing to develop methods
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motivated and committed PhD candidate to develop and analyse green logistics systems through the application of emerging technological and logistical solutions to promote the transition to fossil free
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. The long-term goal is to enable targeted interventions for the right individuals, based on their lifestyle, disease trajectories, and molecular profiles. To achieve this, we will apply deep learning models
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Statistics is opening a PhD position in mathematics focusing on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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Angeles (USA). We seek three brilliant PhD candidates who are passionate about using computer simulations and performing data analysis of various spacecraft observations. Despite their modeling nature
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individual interested in pursuing a PhD focused on exploring the complex relationship between housing renovation, efforts to reduce climate impact through increased repair and reuse, and the development
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, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several
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, take responsibility for the organisation and their own work duties and contribute to a positive work environment. The PhD study will be based on close cooperation with municipalities and stakeholders and
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics focusing