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Field
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: - Multi-modal data processing for decision-making in natural environments - Terrain
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optimal, natural and mineral-stress conditions. To establish a fruitful collaboration with international partners in the project and to supervise a part-time technician on the project. To write manuscripts
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-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
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include Motivated letter of application Curriculum vitae PhD and master diploma or transcript in English Complete list of publications Separate PDFs of particularly relevant papers (max 3) The deadline
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. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A
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the process, which specializes in process development and industrialization methodologies. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UPR5301-ALLMAR-008/Default.aspx Requirements Research
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relevant programming languages (e.g. Python, MATLAB), experience with MRI data processing, and broad expertise in cognitive neuroscience methods are particularly important. These skills should be
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. Qualifications Ideally, you hold a PhD in Data Sciences and have several years of experience collaborating with scientists in natural sciences, particularly within biology, geography, agrobiology, or geology
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Location(s) Number of offers available1Company/InstituteUniversity of OuluCountryFinlandCityOuluPostal Code90570StreetPentti Kaiteran katu 1 Contact City Oulu Website http://www.oulu.fi/english/ Postal Code
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk