140 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" PhD positions in Germany
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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 3 months ago
of Marburg, the Max Planck Institute for Terrestrial Microbiology and the Center for Synthetic Microbiology. More than 30 research group leaders participate in the program and cover research in Cellular
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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collaboration Structured PhD-training programme with a wide range of professional development opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful
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Course location Gießen Description/content A Structured PhD Programme Within a Cutting-Edge Research Environment At the GCSC, you will actively participate in a research-intensive environment from
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Computer Science, Medical Informatics, Business Informatics, or a related discipline Knowledge of database systems, data integration, and data warehousing Programming skills, ideally in Java and/or Kotlin Interest
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(spoken and written); German skills are advantageous WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably also background
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 2 months ago
modern, structured doctoral program in English with a tailored curriculum . Fully funded positions plus additional funding for scientific meetings and trainings (no tuition fees). Individual supervision
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Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration Structured PhD-training programme with a wide range of an professional development
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven