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Field
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-throughput and AI-driven antifungal discovery fungal symbiosis an& pathogenicity fungal metabolites, epigenetics & microbiome structuring computational microbiomics & systems biology of fungal infections
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(e.g. in machine learning, artificial intelligence, computer science, or a related discipline with an educational focus) Strong methodological research expertise in: Applying machine learning techniques
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: Postdoc: Ph.D. in Materials Science, Physics, Chemistry, Mechanical/Electrical Engineering, or related field PhD candidate: Strong Master’s/Diploma degree with very good grades Experience in materials
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mathematics, physics). For Postdoc applicants: Excellent track record in engineering or computer science. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 18 days ago
-space correlation techniques # Development and implementation of modern theoretical approaches # Application of high-performance computing (HPC) in quantum chemistry and materials science Your profile
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 21 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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of student researchers What you contribute Ph.D. in Electrical and Computer Engineering, Computer Science or related program Background in Information Theory, ideally with significant prior publications in
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scientific journals, Requirements: a master’s degree or PhD in physics, meteorology, geosciences or related fields relevant for Earth-system science, experience in climate/Earth-system modelling is recommended
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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many-body physics and space-time; quantum programming languages and formal methods; mathematical and computer science foundations and connections. Please see here for more information about the positions