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Field
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signal processing. Experience in programming (Matlab and/or Python and/or C) Analytical mindset Hands-on approach Good interpersonal and interdisciplinary communications skills Proven autonomic attitude in
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programming (e.g. in python). You have good communication skills (in English) and strong affinity with working in a multidisciplinary and mutli-institutional environment. Do you recognise yourself in the above
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environment, i.e. combining both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab , headed by prof. van Beurden
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outlook and good communicative skills required to collaborate in a multidisciplinary team demonstrable experience with scientific programming, e.g. in Python, Julia or R proficiency in spoken and written
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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your mother tongue; Official, stamped MSc degree certificate; Good command of programming languages like Python will be considered as a plus; Experience with rheology will be considered as a plus
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, AI or a related field; Strong programming skills (e.g., Python, PyTorch); Familiarity with modern ML frameworks and experience with large-scale models; Interest in interdisciplinary research
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) and programming (e.g. Python, Matlab), with strong programming skills. Has knowledge of the steelmaking industry or of other process industry (e.g. modelling, experimental tests, techno-economic
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regarded as a strong advantage. Familiarity with bioinformatics tools and programming in R or Python is not mandatory but would be considered a valuable asset. Additional Information Benefits Terms
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analytical skills, a strong interest in numerical modeling, and good programming skills in Python is required. Eligibility criteria Fulfillment of eligibility criteria is dictated by the European Commission