180 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at ETH Zurich
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. The available PhD position is connected to a 4-year research project, funded by the Swiss National Science Foundation, and it is led by Dr Valentino Vigneri, Senior Researcher and Lecturer of the group of Steel
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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data
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experimental information available, which hinders the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments
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will not be considered. Further information about the RELab and optohive can be found on our website or Linkedin . Questions regarding the position should be directed to Dr. Dominik Wyser, dominik.wyser
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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. Potential inquiries regarding the position should be directed to Dr. Ann-Kristin Weiser via email aweiser@ethz.ch . Please note that we exclusively accept applications submitted through our online application
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experimental and simulated data, leveraging AI and machine learning techniques Contribute to novel computational optimisation methods for machining processes Develop and implement automation solutions, including