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on the research plan at the time of arrival is available. Qualifications/Requirements Possess a Ph.D. degree or be expected to obtain a Ph.D. by the start date of employment. Be fluent in English for written and
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
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DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from
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the development of a higher-layer semantic planning, the decomposition of the plan in subsegments and dedicated controller (such as MPC) for combined planning and control on a subsegment of the XS-Graph
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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period. The research of the candidates must be aligned with IRBLleida’s scientific programs and strategic objectives. Ideally, their expertise and field of research should generate new synergies with
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, Mechatronics, Data Science, or a closely related field Strong background in signal processing, measurement systems, or data analysis Programming skills in Python, MATLAB, or similar scientific computing
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
experience testing for trace-amounts of contamination/impurities on MEMS structures to iron out false-positives in catalytic experiments. Experience in Python and LabView programming for developing new codes
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As part of the Nordic EMBL Partnership for Molecular Medicine, the Institute for Molecular Medicine Finland (FIMM) is recruiting 4–5 doctoral researchers in the FIMM-EMBL International PhD Programme