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Field
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-6G is a newly launched Marie Skłodowska-Curie Doctoral Network that offers fifteen (15) PhD positions in eight European countries. The project will work towards a break-through converged optical
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research institute devoted to plant and agricultural sciences. CRAG offers excellent facilities to perform cutting-edge research, and an enhanced training and support program for PhD students and
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Miquel Crusafont (ICP) is recruiting a full-time predoctoral researcher to join one of the research groups of any Research Area of the ICP to perform a PhD under the supervision of ICP researchers
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The PhD project will be embedded within the HEurope GreenME project (September 2023-August 2027). All supervisors are involved in the project, which is coordinated by H. Cole and M. Triguero-Mas. GreenME
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on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene as well as other 2D materials (MoS2). The group also works towards the development of technological
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different areas of nanoscience and nanotechnology. Job Title: PhD Student Research area or group: Advanced Electronic Materials and Devices Description of Group/Project: The Advanced Electronic Materials and
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(industrial PhD) with an expected duration of 3 to 4 years. Excellent experimental infrastructure and international atmosphere. Attendance to scientific conferences worldwide Research stays in partner
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Institute of Environmental Assessment and Water Research-National Spanish Research Council (IDAEA-CSIC) | Spain | about 1 month ago
to research, training, dissemination, communication and exploitation of results targeting end-users such as environmental consultancies and agencies. DESCRIPTION OF THE PhD PROJECT Aquatic ecosystems
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such as environmental consultancies and agencies. DESCRIPTION OF THE PhD PROJECT The main objective of the PhD project is to elucidate the pathogens and antimicrobial resistance (AMR) flows between
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that combines forces from academia and industry. The hired person will work on the development of algorithms for the scheduling of manufacturing orders taking into account the electricity costs. The algorithms