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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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positions that will support ongoing work on peatland forests biodiversity and restoration. The primary tasks include processing GIS and remote sensing data, such as satellite and drone imagery and LiDAR data
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, interests, and strengths, offering a flexible and rewarding research environment. Our expectations of the applicant A solid background in remote sensing Strong computer and software skills, including
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expectations of the applicant We are looking for candidates who demonstrate: A solid background in remote sensing Strong computer and software skills, including proficiency in R, Python, and ArcGIS Knowledge
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INFORMATION Further information on the position can be obtained from Professor Kirsi Saarikangas (kirsi.saarikangas@helsinki.fi ). For enquiries about the recruitment process, please contact HR Specialist Jenni
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. The candidate should hold PhD degree in microbiology, bioinformatics or related field, and good written and verbal communication skills in English are necessary. The postdoctoral position is for 4 years starting
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applicants fitting best in the profile expected for the position will be invited to an on-site or remote interview. All applicants will be notified during the selection process. We welcome applicants from all
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, University of Helsinki https://www.helsinki.fi/en/faculty-agriculture-and-forestry Viikki Campus https://www.helsinki.fi/en/about-us/campuses/viikki-campus Careers at the University of Helsinki https
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—especially GaN devices—using pre-metallized AlN carriers. The aim is to understand, optimize, and scale bonding processes for both small and large GaN chips. Planned Thesis Work will include both literature
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. Understanding these processes requires the integration of detailed site‑level observations with large‑scale data synthesis. Our project combines both approaches to reveal how short‑term climatic extremes alter