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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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and are fluent in English (oral and written). You show enthusiasm for conducting original research in an interdisciplinary and international team, and you strive for scientific excellence. Workplace
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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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for spin quantum dot-based qubits, hybrid QD-cavity systems, and flip-chip technology integration. The project's primary focus is on exploring fast and high-fidelity readout techniques for quantum dot spin
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to translate your own research ideas to tackle these challenges, in close collaboration with our interdisciplinary team. As part of this process, you will support our master students, publish in scientific
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and professional skills. Your profile Educational Background: Applicants must possess a Master of Science (MSc), Master of Arts (MA), or Master of Philosophy (MPhil) degree in business administration
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and survey data and self-collected data on collective bargaining agreements in Switzerland, the primary research goals of this project are the following: What are the effects of minimum wages set in
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at international conferences. Profile We are looking for a proactive and motivated candidate who meets the requirements for a doctoral program at ETH Zurich and has a Master's or diploma degree in chemical