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. Scientific programming and data analysis. Personal Competences: Strong scientific motivation. Attention to detail and ability to work both independently and as part of a team. Good written and spoken English
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: Teamwork skills Fluent English (both spoken and written). Well-developed analytical and problem-solving ability. Ability to use own initiative where appropriate and be proactive in approach to work
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ICN2 PhD Programme 2026 Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in
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(Raman, CQMB, AFM, etc.) o Experience in programming (LabView, Python, C++, Matlab) o Teamwork skills o Fluent English both spoken and written Summary of conditions: Full time work (37,5h/week) Contract
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immunostaining, optical and fluorescence microscopy. Personal Competences: Teamwork skills Fluent English (both spoken and written). Well-developed analytical and problem-solving ability. Ability to use own
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strong asset; scientific programming in Python and/or C++ and use of HPC resources. Professional Experience: Demonstrated research on spin-orbit torques, evidenced by publications in peer-reviewed journals
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like the PhD Programme, Postdoc Programme, and other career development related initiatives Requirements: Education: Bachelor's degree in Psychology, Labour Relations, Business Administration, or another
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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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Physics, Materials Science, Nanotechnology, or equivalent degrees Knowledge and Professional Experience: Experience in energy harvesting Experience with COMSOL simulations Experience in programming (LabView
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. The Nanomedicine Lab has been awarded various grants, such as the ERC Synergy SKIN2DTRONICS, the Plan Nacional project EGOLoco and others in collaboration with various colleagues and international and national