35 programming-language-"Prof.-Dr"-"Prof.-Dr" PhD positions at Technical University of Munich in Germany
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to the following programs and mention Niki Kilbertus as possible supervisor: If you plan to start before May 2026 (and only then), send your application as a single PDF in English to niki.kilbertus@tum.de with
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understanding of immunology and the central nervous system • Very good written and spoken English • Analytical and creative mindset, with a strong willingness to learn new techniques Desirable experience • FELASA
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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permanent funding as part of the German and Bavarian government's AI strategy. Our vision is to strengthen regional, national, and international competence in AI and to make the corresponding potential
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-performance computing. The working language is English; no German is required. Position & benefits This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx
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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
, and no knowledge of German is required. This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx. €52,000–€75,000 gross per year, depending on experience
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discipline Strong interest in automation of process steps (Python, LabView, or similar... Experience in one (or more) of the following areas is desirable: programming, automation, synthesis of inorganic
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab