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Field
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chirality. The network aims to exploit attosecond light-driven electron dynamics to overcome limitations associated with conventional chiroptical methods. The research targets potential applications in life
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will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team of data
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Engineering Computer Engineering Physics Mechatronics Information Engineering or a related field. Ideally, you have experience in several of the following areas: Electronic circuit or measurement system
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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your research interests and a CV to juan.delaconcepcionspam [email protected] until October 16th. For more information, please contact Juan Carlos De la Concepcion via email
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. Referees should independently submit their letters as a PDF file to the email address below by the same deadline. [email protected] Contact for more information Prof. Patrick Roberts Email: roberts
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Golestanian Tel. +49 551 5176-100 Email: [email protected] Max Planck Institute for Dynamics and Self-Organization Prof. Dr. Ramin Golestanian Am Faßberg 17 37077 Göttingen Germany
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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/grades Important Technical Note: Currently, email addresses associated with domains such as @hotmail.com, @outlook.com, or @live.de may experience occasional delays or restrictions in receiving messages
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should send a letter of motivation, a complete curriculum vitae, copies of qualifications as well as names of two references via email to yvonne.oelmannspam [email protected] . The documents