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Field
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languages (Python, MATLAB) would be considered as assets for the application of the candidate. • Languages: Strong command of scientific English, both written and spoken. • Personal attributes: Autonomy
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
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validation (preferred) • Good programming skills (MATLAB, Python, or similar) • Ability to work in an international and interdisciplinary research environment • Good written and spoken English Specific
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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we are looking for has: -A good MSc degree or equivalent in applied mathematics or physics, or related area. -Strong numerate and programming skills (Python, C/C++) -Understanding of fluids flow in
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, interpretive analysis) Affinity with real-world applications and openness to working with public or private sector organisations. Demonstrable programming skills, for example, experience in Python or R
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(e.g., Python, C/C++, or similar) and an understanding of networking or distributed systems will be advantageous. We are particularly interested in candidates who wish to work at the intersection