130 computational-physics-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in Germany
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underrepresented groups to apply. The review process is on a rolling basis. Please refer to the “Application Procedure” section for details on how to apply. Current Openings Safety, Performance and Reliability in
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multidisciplinary environment of biologists, clinicians, computational scientists, and other colleagues within our research groups and with consortium partners of the FOR 5806 Your Profile We are looking for a self
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/active-fellows/senge-mathias/ https://www.groups.ph.tum.de/e20/startseite/ https://www.groups.ph.tum.de/nanosurfs/home/ Requirements: Ph.D. in chemistry or physics with experience in nanoscale science, a
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intelligence modelling methods and deep learning techniques can also be used in both areas. Your qualifications: Master's degree/diploma/doctorate in computer science, mathematics, physics, engineering, or a
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
and fUSI studies, including data analysis (e.g., Afni, Matlab, Python), MRI physics & sequence development, rodent handling, behavioral experiments and surgery. Our mission is to build a supportive and
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 3 months ago
Job Code: 23.25 Job Offer from October 22, 2025 Aim: Design, build, and test an ion soft landing instrument and program its control software. Fields: Instrument building, Software development, Ion
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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in acquiring third-party funding and writing grant proposals Research in the thematic area of Computational Integrative Biodiversity Support of teaching units for the Chair of Mechanistic/Process
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning