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pharmacodynamic data analysis. Project background The project's main objective is to extract and analyze large amounts of pharmacodynamic data from various sources and design a user-friendly database. Through
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background The main objective of the project is to develop a polygenic model to investigate the mechanisms underlying drug resistance evolution, focusing in particular on ploidy, reproductive mode and
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excellent Master's degree in philosophy or another neighboring discipline. We are looking for highly motivated, committed, and creative individuals, able to work in a team and with excellent communication
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. You will work along the way on developing original imaging protocols and quantitative data processing methodologies exploiting the coherence properties of EBS source with intense narrow-bandwidth single
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, in close collaboration with our interdisciplinary team and external scientific and industry partners. The candidate will support our master students, publish in scientific journals, and participate in
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translate his/her research ideas to tackle these challenges, in close collaboration with our interdisciplinary team and external scientific and industry partners. The candidate will support our master
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://psychologie.unibas.ch/en/faculty/centers/social-psychology/ ) we are currently looking for dynamic and independent graduate students (Master's degree) or physicians who are interested in carrying out their PhD work in
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our master students, publish in scientific journals, and participate in conferences. Your profile You are a highly motivated and dedicated candidate with an MSc in Energy, Mechanical, or Electrical
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are currently looking for dynamic and independent graduate students (Master's degree) or physicians who are interested in carrying out their PhD work in biomedical ethics or psychology. The PhD position is part
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), Switzerland (http://ibmb.unibas.ch/ ), is currently looking for dynamic and independent graduate students (Master's degree) who are interested in carrying out their PhD work in the ethics of automation. The PhD