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QUALIFICATIONS Master’s degree in Physics, Biophysics or similar. Ability to work independently and within a team. Attention to detail and high level of critical thinking. Experience with photonics, fluorescence
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looking for PhD Student (f/m/d) for Layer and Interface Formation of Defect-Tolerant Functional Materials Using X-ray Spectroscopy Your Tasks Characterisation of chemical and electronic structures
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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evaluated. • Ability to convey practical and theoretical knowledge in a didactically suitable form. • Good teamwork and communication skills, as well as a sense of professionalism and responsibility
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field. Strong
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 6 days ago
-forms back to NH3 with the use of green electrons and water can contribute to fixed-N recycling concepts and inhibit the accumulation of reactive-N-species in the ecosystem. Meanwhile, the increasing
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-microbe interactions, tree defense mechanisms and forest pathology. Proficiency in English (written and spoken). Good communication skills and ability to work independently and collaboratively. We offer: A
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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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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep