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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD applicants, it is not...
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
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We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
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project , the collaborating SNF project BeyondCloudLab (4 PhDs, 2 PostDocs) brings together a team including Prof. Lohmann and Dr. Henneberger (ETH) working on cloud microphysics and seeding, Prof. Mohr
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industry, NGOs, and scientists from plant biology and public health. The PhD candidate with closely collaborate with a Postdoc working on the project. Starting date/length of PhD program: At the earliest
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an interdisciplinary team and participate in collaborating with other PhD and Postdoc members. The position will be held in the Microbial Physiology and Resource Biorecovery laboratory (MICROBE) led by Dr. Wenyu GU
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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closely with a Postdoc or Senior Researcher involved in the project. Starting date/length of PhD program: At the earliest 1.4.2025; not later than 1.8.2025; duration: 3 years
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velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced