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edge research in materials design, processing, and advanced characterization. We promote interdisciplinary collaboration and sustainability focused research, with strong ties to both academic and
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methods in High-Energy physics, in particular quantum field theory and particle physics is required. Familiarity with symbolic computer algebra systems such as Mathematica is required You will need strong
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symbolic computer algebra systems such as Mathematica is required You will need strong written and verbal communication skills in English *The date on your doctoral degree certificate is considered
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journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies
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of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in ecosystem ecology, biogeochemistry, physical geography, or a related field. Past experience of synoptic surveys
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engineering aspects as well as filtering and signal processing. The work is linked to a series of VINNOVA funded projects, REDO, REDO2 and CORD. The purpose of the research is to understand how different
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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
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/assignment relevant to the subject area. Candidates who have worked in the lab of the main PI or Co-PI during their PhD and postdoc are not eligible. Step 1: Application The application should include: A
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for