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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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Duisburg-Essen: TV-L 13 65%, about 39.000€ gross per year At the Ruhr University Bochum: scholarship of 2.050€ net per month Your profile Excellent master’s degree in materials science, physics, engineering
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Engineering, Operations Research, Civil Engineering, Computer Science, Data Science or a related field, from a university/department with a strong international research reputation Strong mathematical and
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partners. Your qualifications: Successfully completed Master's degree in the field of meteorology, or related disciplines such as physics, engineering or geosciences. High level of motivation and willingness
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engineered cancer cell lines (in collaboration with a technician) and design hypothesis-driven analyses to identify targetable mechanisms of genomic instability Contribute to developing reverse-translational
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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Your Profile: An excellent master’s degree with strong background in nano science, materials science, chemistry, chemical engineering, physics or related Experience with modeling of reaction kinetics
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can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried out within the DFG Priority Programme “DaMic - Data-driven Alloy and
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Your Job: Catalyst synthesis and characterization: Prepare inorganic catalysts via wet-chemical methods and perform detailed chemical and physical analyses using XRD, XPS, SEM, TEM and Gas sorption
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago
(Prof. Josh Jacobs). Prerequisites Prerequisites are outstanding records in neuroscience or adjacent areas. A strong quantitative background is preferable (e.g., the candidate could also come from physics