25 phd-computational-"FEMTO-ST"-"FEMTO-ST" positions at Aalborg University in Denmark
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Assistant Professor in Environmental Microbiology and Viromics of Danish Peatlands (3 year position)
. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You will help conduct
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for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). We encourage all qualified researchers to apply, especially those with research experience or future
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, coordinated by Aalborg University and funded by the EU’s Horizon Europe program. The project aims to improve fiber-to-fiber textile recycling across Europe by developing smarter sorting systems, recycling
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to contribute to the research fields of the group, either with an epidemiological or a qualitative focus. The research group is responsible for a master's degree program in public health science, which is offered
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for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). We encourage all qualified researchers to apply, especially those with research experience or future
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expected to take a lead role in teaching at BSc, MSc, and PhD levels. In particular, the applicant will contribute to the teaching and supervision activities in the division, including at the program
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postdoc requires academic qualifications at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and
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, you will be focusing on the topic of Brain Neuro-Adaptability to Pain, in particular brain oscillations in pain conditions and non-invasive brain stimulation. You will be working alongside PhD students
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publication in peer-reviewed journals, and a proactive attitude toward dissemination of research outcomes. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. Who we
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, artificial intelligence (AI), machine learning, and computation have emerged as powerful digital technologies for creatively generating new design ideas and rapidly advancing formgiving methods within