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CAD tools (e.g., Keysight ADS, NI/Cadence AWR Microwave Office, or equivalent) is valued as its familiarity with programming and numerical analysis tools (e.g., MATLAB) for data processing and
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determined during the recruitment process. Your research project may be based on various contexts; start-ups, established firms, or public organizations. We are looking for candidates who wish to do research
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Science Department. We study our dynamic planet from nano- to planetary scale to quantify the key cycles and interactions in system Earth. Processes taking place over timescales from seconds to millions
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supervisor(s) and undertake the necessary administration for a smooth PhD process. You will conduct the research efficiently and to an appropriate standard, possibly abroad, and compete for funding for general
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to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by
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experience, depending on the department's teaching needs and the candidate's competencies. Qualification requirements and the Selection Process The applicant must be eligible for admission to the doctoral
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differing aspect of this topic and could be reliant on both the interest of the student and supervisory team, plus what is found through the process of the research. Further information: Applicants should
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of the student and supervisory team, plus what is found through the process of the research. Further information: Applicants should have at least a 2:1 in a relevant degree (for example but not limited to Sport
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tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE ACTIONS (MSCA) Doctoral Network (DN) MOtorized NAnomachines: fundamentaLs
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good