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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: 17-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position at the intersection of optics, molecules and biophysics
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diverse faculty so you are encouraged to apply. Our selection procedure follows the guidelines of the Recruitment code (NVP), http://nvp-plaza.nl/download/?id=7714 and European Commission's European Code
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: search for the ‘Course Title’ using the programme code: 8060F. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following
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epidemiology, microbial genomics bioinformatics (coding skills) to assess measles evolution and diversity and implement your findings directly into WHO public health infrastructure (MEaNS database) to be used by
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant in the course NSC 5661 Systems Neuroscience. This job
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant on the course NSC 5461 Cellular and Molecular
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applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and