173 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"CNRS" PhD positions in Germany
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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-motivation and interest to learn new skills Great to have: Experience programming in Python, Julia, or C/C++ Experience with Mathematica Experience with finite element methods, agent-based simulations, and/or
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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. MMMIGS promotes structured doctoral education within MMM, supports doctoral candidates and supervisors within the high-profile area, and offers a demand-tailored scientific qualification programme. The
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written in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline For PhD and MD/PhD in Translational Biomedicine, see
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with
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programme (www.uni-bonn.de/istart ), which teaches participants tangible knowledge and valuable skills that will enable them to write successful applications for jobs in Germany. The programme is geared
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for early career researchers of all stages. Our programme will help you gain career skills, orientation, and support for a seamless transition into the job market inside academia—and beyond. Get in touch with
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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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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