104 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions at University of Southern Denmark
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are looking for a student to support the operations of the Cyber-Physical Lab, a facility where physical experiments are directly interfaced with and controlled by computer systems. The position requires a
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senior scholars across Europe. This includes participation in six international training weeks, and international secondments with academic and non-academic partners. Requirements and programme structure
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department organization, research, and teaching, please visit the department’s website . Requirements and programme structure As a PhD Student you will follow an individual PhD plan including course work
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the research group SDU Structures. The PhD project will focus on probabilistic modelling of existing structures. The successful candidate will carry out research related to the new research programme called
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and uses a wide range of experimental, theoretical and computational approaches. Active research areas include self-assembled complex systems such as biomembranes, polymers, liquid crystals, as
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research plan detailing the candidate’s ideas and plans for her/his future research work If you experience technical problems, you must contact hcm-support@sdu.dk . Please note that all the above-mentioned
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research groups are reflective about how they work with relevance as an activity and high quality research as a means. 2) Our teaching programmes are in demand, and the staff on our courses work continuously
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Job Description Student assistant for Software-Driven Machines Lab at SDU Centre for Industrial Software The SDU Centre for Industrial Software, the Mærsk Mc-Kinney Møller Institute at the Faculty of Engineering in Sønderborg seeks a student assistant. We are looking for a candidate to support...
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the applicant’s educational background and previous research experience most relevant to the offered position and the reason for applying to the PhD program. Curriculum Vitae. Master’s and bachelor’s
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workflows Experience in quantitative data analysis and computational approaches; familiarity with machine learning or advanced statistal methods is advantageous Preferably experience with micro-CT imaging