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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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into their workflows. You will benchmark the supports, MEMS devices and developed codes on known multiphased reference samples. The TEM will be done at EMAT (University of Antwerp) under guidance of Prof. Dr. Joke
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Closing Date: 28th July 2025 Sponsor: UKHSA Supervisors Dr. Marie McIntyre /Dr Roy Sanderson , Newcastle University Prof. Wendy Hardeman/David Turner, UEA Dr. Tom Inns/Prof. Roberto Vivancos, UKHSA
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employment: as soon as possible Duration of employment: 3 years Working time: 29 h 52 min (75 %) Application deadline: 2025-07-30 Code number: 326-25 Your main tasks Participation in the DFG-funded project
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Libman alexander.libman@fu-berlin.de or Prof. Dr. Tomila Lankina T.Lankina@lse.ac.uk . Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF
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Duration 4 years Application Closing Date 28th July 2025 Sponsor UKHSA Supervisors Dr. Marie McIntyre /Dr Roy Sanderson , Newcastle University Prof. Wendy Hardeman/David Turner, UEA Dr. Tom Inns/Prof
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and