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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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qualifications: Experience with GHG flux measurements (eddy covariance, chambers) or nutrient flux monitoring. Skills in process-based modelling or ecosystem resilience assessment. Teaching and supervision
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initiative and the motivation to pursue a scientific career Documented experience in scientific writing and publication in peer-reviewed scientific journals Research experience in some of the areas of process
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given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants
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him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants. Letter of reference If you want a referee to upload a letter of reference on
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composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of
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60 senior scientists, ~100 Postdocs and ~100 PhD students. The center combines expertise and faculty from Physics, Chemistry, Molecular biology and Medicine to carry out world class interdisciplinary
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. Fluency in written and spoken English, as well as strong computational skills, is required. Emphasis will be placed on personal suitability, organizational skills, collaborative work together
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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Program research grant, this project brings together complementary expertise of the Zhulyn (Canada), Lagha (France), vanOudenaarden (Netherlands) and Kelleher (US) labs for a team-driven, multidisciplinary