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encourage you to apply; enthusiasm and the ability to learn quickly are highly valued in our team. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience
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Institute (University of Exeter), in close collaboration with the research group of Shobbir Hussain at the University of Bath, with the possibility of visiting their lab for a short period of time to learn
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52 Faculty of Chemistry Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2029 Reference no.: 4090 Explore and teach
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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50 Faculty of Life Sciences Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2029 Reference no.: 4160 Explore and teach
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analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical foundations of deep learning, functional analysis and measure theory. You can find more information about
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the characterization and analysis of porous materials An excellent background in X-ray diffraction, electron diffraction, electron microscopy and related analytical techniques Open to learn new analytical tools, like
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King and Dr Justyna Kulczyk-Malecka at Manchester Met. This new project will be highly collaborative and interactive, and so you will have the opportunity to learn these techniques from our highly
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lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology