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Field
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, including research, teaching, outreach and administration Requirements: university degree (Master, Diploma) in Mechanical Engineering, Electronic Engineering, Computer Science or related fields provable
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research and supervision in an interactive and flexible setting? The research group of Jun.-Prof. Dr. Endo, just launched in May 2025, is looking for highly motivated candidates for PhD or postdoctoral
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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and
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is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion 2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition
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. Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline Please see https://flores.unu.edu/en/education/phd-programme for current information. Tuition fees per
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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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TRON – Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz • | Mainz, Rheinland Pfalz | Germany | about 17 hours ago
. Full-time / part-time full-time Mode of study Hybrid Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional information on beginning, duration and mode of study PhD
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Engineering, Physiology and Therapy of Hearing “Auditory Sciences” is a structured PhD programme that is integrated in the “Joint Research Academy in Biomedical Engineering and Science of Hearing and Sensory
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages