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Dutch and English. Affinity or experience with innovation projects involving partners from practice. Willingness or experience in programming heuristics and algorithms. Motivation to produce academically
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Location ESOC, Darmstadt, Germany Our team and mission You will join the Ground Segment System and Cybersecurity Engineering Section in the System and Applications Engineering Division, Ground
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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their PhD before January 2026 are also encouraged to apply. Applicants should demonstrate proficiency in programming languages and tools commonly used in computer science. Hands-on experience with genetic
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applications to medical imaging and robotic systems. In this role, you will contribute to the development and implementation of cutting-edge AI solutions for real-time image-guided medical applications. You will
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“form adaptive multilayer”, matching industrial demands with scientific know-how, and thereby improving future lithographic applications! Position Overview: You will create an adaptive multilayer that is
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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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, architecture, and/or industrial design. You also possess: Strong analytical skills and innovative attitude Previous experience with finite element simulations and/or rapid prototyping Good programming and image
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behaviour and the human psyche, education and upbringing, communication, society and culture. The faculty provides education to 6,000 students and employs 700 staff. Education is organised into six programme