59 phd-in-embedded-system-"Meta" positions at Chalmers University of Technology in Sweden
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is a merit. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. What you will do: Your major responsibility as a PhD student is to pursue your own doctoral
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We are looking for a highly motivated PhD student to join the research group of Professor Christian Müller . The focus of the project is on understanding the mechanical properties of conjugated
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, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures
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temporary employment Duration: 5 years (including up to 20% departmental duties) What we offer The PhD position is fully funded from start As a PhD student at Chalmers, you are an employee and enjoy all
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, simulation, and integration of complex energy-digital systems in the context of smart ports. As part of the prestigious Marie Skłodowska-Curie Doctoral NetworkPorts as Energy Transition Hubs (POTENT
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Chalmers and will receive a salary according to current salary agreements. Qualifications PhD in physics is required (degree obtained before the employment begins) To qualify for the position of postdoc, you
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23 Aug 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2) Country Sweden
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the sustainability performance of the built environment. Job description We are looking for three student assistants to support the PhD project Measuring to Manage: A Methodological Framework for Quantifying Plastic