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integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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command of written and spoken English • Experience with qualitative research methods is an asset • Good knowledge of machine learning /data mining in science • Good programming skills in at least one
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spectroscopy technologies (i.e. optical hardware). • Molecular biology / protein biochemistry expertise. • Experience in analyzing protein structural data (not necessarily acquiring the data). • Having already
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start-up phase e.g. after their PhD. Hence, we look for the following capabilities: • University degree (MSc or PhD) in of physics, engineering, medicine or biology. • Experience in optics and
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seek for the following capabilities: • PhD or Master in Biology, Biophysics, Biochemistry, Bioengineering or related topics. • In vivo imaging experience, preferably optical, ultrasound or even photo
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part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School
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levels, - policy design and impact analysis, - resource allocation, growth and welfare evaluation, - technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and
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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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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience