104 parallel-programming-"EPIC" positions at Technical University of Munich in Germany
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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technologies to fundamental physics questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG
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collaboration Relevant experience with programming languages (preferably Python) You work independently, in a structured and reliable manner. You are communicative, flexible and able to work under pressure
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will soon obtain the degree are also welcome to apply) - strong background in machine learning - proficiency in Python programming - experience with molecular simulations and knowledge of statistical
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programming and experience in mentoring and/or supervising co-workers are highly desirable. A genuine interest in the subject matter (food science and multiomics), solid English language skills, self-motivation
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to apply) - strong background in machine learning - proficiency in programming (especially Python) - experience with ab initio/molecular simulations and knowledge of statistical physics is beneficial
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should bring a particular interest in digital design and manufacturing technology and systems design. Ideally, you have skills in CAD modelling, geometry processing, and programming, as well as prior
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instruments at FRM II. You will actively participate in R&D programs aimed at exploring novel detector concepts for neutron scattering applications, conducted within an international framework. You will enhance
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye