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for Sensing, Imaging and Modelling, FAME, is a multidisciplinary consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process
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The Research Council of Finland funds four Finnish Flagships over two four-year periods. The Flagship of Advanced Mathematics for Sensing, Imaging and Modelling, FAME, is a multidisciplinary
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person with: PhD in geography, geology, water engineering, forestry or a relevant subject. proficiency in fluvial geomorphology, biogeography, geoinformatics, big data analyses, statistics or remote
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skills. Fluent oral and written communication skills in English are required in the position. We appreciate skills in wildlife ecology, statistical methods, fieldwork and in handling remote sensing and GPS
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to hydrogen embrittlement. Supervising PhD and master's students, providing guidance and support in their research activities. Utilizing CALPHAD and thermodynamic modeling tools to predict phase equilibria and
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others (or the lack thereof), and the ways they envision and make sense of their own lives illuminate how the social fabric is being maintained and transformed. Doing so, the project promotes constructive
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in fluid power courses. Furthermore, postdoctoral researchers are expected to participate in grant writing for funding. Your experience and ambitions PhD in a relevant field (electrical engineering
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obtained PhD or doctoral degree in chemical engineering, environmental engineering, pulp and paper technology, biorefining, forest products, or similar Excellent written and oral communication skills in
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opportunities for continuous learning. Flexible working time arrangements and the possibility of partial remote work also support the balance of work and free time. The salary is based on both the job requirement
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activities Who we are looking for Requirements Applicants should have a PhD degree in a relevant field (e.g., ecology, biology) or have submitted their PhD thesis for evaluation before the application deadline