132 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"I.E" PhD positions in Germany
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve An outstanding, methodologically advanced scientific education within cognitive and clinical
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve A wide range of training and professional development opportunities A respectful and
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Description Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global...
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness
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communication skills in English and motivation for independent scientific work WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year
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E13 (collective agreement) Job ticket Possibility of child care (crèche and kindergarten) as well as subsidy for vacation care for school children Active health promotion Company pension plan Access
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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Geosciences – as well as the Marine Observation Department, work interdisciplinarily within the framework of a joint research programme . Equal opportunities, family-friendliness, and work-life balance