246 programming-"Multiple"-"U"-"O.P"-"U.S"-"FEMTO-ST-institute"-"St" positions at Nature Careers
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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approaches to study how cells and organisms interact with each other and respond to change at multiple levels (molecules, cells, tissues and populations). These themes are embedded in the research within
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highly collaborative spirit and willingness to work in collaboration with several different teams and entrepreneurs. You will also be expected to work independently whilst collaborating with multiple
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of machines and structures in collaboration with other departments from Aarhus University and multiple industrial partners; including a world leader in sensing technology. In particular, the algorithm platform
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offerings listed below: Medical, Dental and Vision 401(k) with company match and contribution Hybrid office working policy, Summer Hours, and paid time off Flexible Spending and Commuter programs Multiple
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or laboratory analyses. Familiarity with statistical analyses and data integration across multiple sources. Collaborative skills and ability to demonstrate commitment in teams Motivation to pursue a scientific
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system. Researchers with experience in neuroscience, microbiology and immunology are welcome to apply, but it is expected that you will span multiple of these fields once established in the lab. You will
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work