378 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD scholarships in Netherlands
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Advisory Committee and National Science Program Council. Our team consists of professors, scientists, technicians, office staff, postdocs, PhD students and undergraduate students. This ensures a diverse and
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years, you will write your PhD dissertation. During this period, you will also teach in our Sociology programme (10% of your time) and present your work at international academic conferences and at public
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analysis. • Experience with, or a strong interest in, machine learning, probabilistic modelling, statistics, signal processing, digital health or wearable sensor technologies. • Programming
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program. In addition to doing research, publicizing your findings, and participating in academic events, you will be involved in teaching (roughly 10% of your time). For this position the University Job
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course program tailored to your needs and the research team. The gross salary for the first year is € 3.059,- per month rising to € 3.881,- in the fourth year in according to the Collective Labour
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, Biomedical Engineering, or a related field. Further, you have: Open-mindedness and strong motivation to embark on interdisciplinary research Solid programming skills Experience with experimental research
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provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related
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an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a
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asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed Strong verbal and written communication skills in English are required Work
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level