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Field
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to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable development of the maritime shipping sector
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support to competent authorities on how to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable
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analysis and data handling (e.g., R or other relevant platforms) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques
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) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques relevant to pollination biology Ability to work independently and as part
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access to advanced infrastructure for experimental and theoretical studies. The international environment and good opportunities for interdisciplinary collaborations enables PhD students at the department
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. The international environment and good opportunities for interdisciplinary collaborations enables PhD students at the department to participate in relevant research projects and prepare for an international research
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build the sustainable companies and societies of the future. The Division of Architecture and the Built Environment (ABE) researches and develops knowledge about and innovative proposals for how planning
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. The Division of Architecture and the Built Environment (ABE
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial systems and cyber-physical environments. The lab includes autonomous robots