1,893 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "INESC ID" positions in Germany
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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technical field, such as mechanical engineering, computer science, transportation systems, or civil/environmental engineering with a focus on traffic engineering, with very good grades. You bring solid
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developed and results What you contribute You are enrolled in a Master's program, e.g., computer science, electrical engineering, mechanical engineering, optics and photonics or a comparable field You have
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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Bolotin working group. As a PostDoc, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary program, which includes tailored training, workshops, retreats
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of TUM. Kontakt: k.alim@tum.de More Information http://www.bpm.ph.tum.de
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available in the further tabs (e.g. “Application requirements”). Programme Description The Zukunftskolleg Konnect Fellowships support early career researchers from Africa, Asia and Latin America, who do
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jobticket for using the public transport Easy accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits
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Freising, Germany Tel. +49 8161 71 3961 patrick.bienert@tum.de https://www.mls.ls.tum.de/en/cropphys/home/ www.tum.de The position is suitable for disabled persons. Disabled applicants will be given
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 5 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