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and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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close collaboration with industry, academic partners and the public sector. This presupposes that the candidate actively participates in these networks. Qualifications According to the Higher Education
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levels within and outside the organization is required, as well as the ability to create and maintain networks and good relationships. Assessment criteria The assessment criteria for the employment of a
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professional approach and analyze and work with complex issues. Good knowledge of English and good presentation skills in text to communicate with international lab members and write reports. well-organized
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, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Good knowledge of English
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maturity. Excellent communication skills in English. Experience in tackling complex scientific problems or method development in at least one of the categories mentioned above. About the employment
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tomography and mechanical testing. Experience with multidisciplinary environments and collaborative research projects. International networks and experience. Consideration will also be given to how
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering