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large family of membrane proteins involved in numerous physiological processes. By leveraging machine-learning enhanced virtual screening, the PhD student will be able to perform searches for ligands in
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-molecular-biology . Read more about our benefits and what it is like to work at Uppsala University. Duties In Senior Professor Komorowski’s bioinformatic group the research focus is machine learning for Life
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and students from all over the world. Our research spans from evolutionary ecology and genetics to ecosystem studies. Learn more at www.ieg.uu.se . We are now looking for a PhD student in evolutionary
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the applicant through his/her experience and competence is judged to have the abilities necessary to develop within and acquire the doctoral education. Additional qualifications Since the position is funded by
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place great importance on personal suitability as well as motivation and the ability to independently conduct research studies. Previous experience in modeling and simulation, machine learning/AI, high
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to independently analyse data and to develop scientific texts on a scientific basis Knowledge of advanced statistical and machine learning techniques Experience in developing data visualization. Additional
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robotics and human-robot interaction (Ginevra Castellano and Katie Winkle), LLMs and deep learning (Ekta Vats), and privacy and cybersecurity (Boel Nelson). Duties The successful candidate will work with
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learning A high level of proficiency in English (reading, writing) Knowledge in Python 3.X, since most programme code is written in this and the researcher will have to contribute to this code base Ability
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abilities necessary to develop within and acquire the doctoral education. Additional qualifications We are looking for a highly driven person, who shows clear signs to perform research work independently and
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approach regarding the candidate’s academic and personal abilities. Note that the authenticity of the submitted certificates must be attested by at least two persons whose contact details must also be