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We are seeking a postdoc to become part of our research team. Research will be conducted at the Günther Lab within the Human Evolution Program within the Department of Organismal Biology (Evolutionary Biology Center, Uppsala University, Sweden). The Günther group is specifically studying the...
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Close collaborations with the New York Genome Center and with the infrastructure platforms at SciLifeLab An opportunity to develop an internationally competitive research profile and networks as
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/ ) at the centra for molecular life sciences – SciLifeLab. The project takes place in collaboration with researchers at the centra with the goal of analyzing cellular processes on the nanoscale. Project aims and
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facility belonging to SciLifeLab, part of a national infrastructure for research in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge
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English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and empirical data analysis (including statistics) Strong motivation and
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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cleanroom processing of nanodevices Programming skills for electrical measurement scripts and data analysis, for example with Python or Matlab. Consideration will also be given to how the applicant’s
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular
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requirements: Very good oral and written proficiency in English. Ability to drive and independently progress the project Strong computational skills with considerable experience with programming with python
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various organoid and cell culture methods, primary cell isolation, imaging and sequencing techniques) with capability in using computational tools (competent with R, python and command line tools) and are