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: ambercofund.eu. Qualifications Minimum requirements are: Candidate needs to have a maximum 8 years after a doctoral degree (PhD), as required by the project Grant Agreement signed with the European Commission
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there are competencies in separation processes, reaction technology, modeling and water purification. The teaching staff consists of approximately 15 people who are supplemented by a few more postdocs and ca. 25 PhD
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lecturer, applicants are required to hold a PhD or equivalent academic qualifications in analytical chemistry. The position is primarily intended for applicants who have completed their PhD, or acquired
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of AI in compliance and policy implementation. By fostering interdisciplinary dialogue, this cluster will seek to shape the future of AI governance in Sweden and beyond. Possible PhD topics include, inter
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minimum of 30% research time (exclusive of PhD supervision - every student gives you an additional 5% fraction), but you are encouraged to apply for further buy-out through external research funding
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for employment as associate senior lecturer are candidates who hold a PhD or have equivalent academic qualifications. Priority will be given to candidates who have received a PhD or equivalent qualifications
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Associate Senior Lecturer/Assistant Professor* in silviculture with a focus on silvicultural systems
to understand information in Swedish. The department will support the holder to achieve this goal. Qualifications Eligible for employment as associate senior lecturer are candidates who hold a PhD or have
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circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Candidates should hold a PhD degree in molecular biology or a related experimental life science
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, PhD supervision, attending project meetings, presenting research results at conferences and workshops, and managing milestones and deliverables linked to MATISSE. Qualifications requirements
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers