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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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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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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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, ecology, mathematics, or a related field Strong programming skills, preferably in Python (experience with scientific computing, ML frameworks, high performance computing and geospatial data are highly
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company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve A wide range of training and professional development opportunities A respectful and
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programme with a wide range of training and professional development opportunities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful and appreciative work
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of inquiry, showcasing how curiosity spreads through collaboration, creating a ripple effect of positive change. The program seeks to nurture a new generation of researchers who will use curiosity to combat
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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participation in the related Graduate School training programs. Qualifications The applicants should possess: An excellent or very-good university degree in Eonomics Strong analytical and methodological skills
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differentiation, at both molecular and cellular level Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration Structured PhD-training programme