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project Imaging flow cytometry is a state-of-the-art quantitative flow-based image analysis technique. The combination of fluorescence microscopy and flow cytometry enables high-throughput imaging of cells
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electronic devices The project will include three secondments: University of Bern (Switzerland) – advanced in-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping
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-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping profiles Forschungszentrum Jülich (Germany) – biocompatibility assessment The work will be done in close
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conducting behavioural tests on animals Demonstrated experience in behavioural coding Demonstrated experience in R Experience with traveling and spending time abroad Ability and willingness to teach and
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, religion, gender and ethnicity Demonstrated experience in planning, overseeing and conducting behavioural tests on animals Demonstrated experience in behavioural coding Demonstrated experience in R
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Linköping Street Campus Valla Postal Code 58183 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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UniversityCountrySwedenCityLinköpingPostal Code58183StreetCampus Valla Contact City Linköping Street Campus Valla Postal Code 58183 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text