229 computer-science-quantum-"https:"-"https:"-"https:"-"https:" PhD positions in Germany
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areas of each track of the programme (economics, finance, marketing and accounting), followed by courses designed to expose students to the research frontier in a variety of fields of specialisation
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. Hiermit bringen Sie sich ein Academic qualification: You hold a completed university degree (Master’s or Diploma) in electrical engineering, computer science, physics, or a comparable technical or natural
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communication skills in English are mandatory German speaking skills are not required This is a wet-lab position, so applicants with a purely (bio)informatics background will not be considered. WE OFFER: Salary
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university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several of the following topics: Computer Vision, Machine
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on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
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, environmental sciences, or a related discipline, is required. Basic knowledge and interest in atmospheric physics Skills in model & satellite data analysis is desired Fundamental programming skills and expertise
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in vitro work, including work with primary cells isolated from human bone and bone marrow, and characterize these primary cells using various cell biology and molecular biology methods Establish data
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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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infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science or a similar field Good theoretical
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available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field