45 parallel-and-distributed-computing-phd research jobs at Technical University of Munich
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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the study of the impact of digital and computational pathology on clinical workflows and patient care. Our lab is located in the heart of Munich at the TUM Klinikum rechts der Isar (MRI), Institute
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Design Engineering at Imperial College London, TUM’s Professorship of Energy Management Technologies participates in this program and awards an excellent candidate with a prestigious JADS PhD scholarship
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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” are ready to be exploited. • You will also be involved in the training of students. Your qualifications and skills: • You have a PhD or equivalent degree in biology, agri-cultural biology or any related field
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning