91 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Sweden
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, or ecosystem ecology, with a focus on conservation biology and/or biodiversity-related ecosystem services in terrestrial ecosystems. The applicant must include a research plan in their application that shows how
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, extensive biobanks and career support programs. In this tenure track position as Associate Senior Lecturer (DDLS Fellow) we are addressing outstanding junior scientists with international research experience
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data. • Programming skills in R and Stata or similar software. • Experience of intersectionality-informed health research. • Very good written and oral English language skills. Meriting qualifications
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of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in architectural visual representation and modelling in both 2D and
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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; publication list; pedagogical portfolio; attested copy of PhD degree certificate; research and education statement (future research plan and education interest); any other document needed to prove the
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(future research plan and education interest); any other document needed to prove the qualifications according to the Appointment Procedure at JU. We firmly decline all contact with staffing and recruitment
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of PhD degree certificate; research and education statement (future research plan and education interest); any other document needed to prove the qualifications according to the Appointment Procedure at JU
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for mass spectrometry data processing and data deposition. Knowledge in data analysis using open science programming languages (e.g. R and Python) is advantageous. About the employment This is a full-time
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels