14 programming-language-"University-of-Michigan" Postdoctoral research jobs at Nature Careers in Sweden
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The two Swedish Centres of Excellence, Umeå Centre for Microbial Research and Umeå Plant Science Centre at Umeå University , are running the ‘Excellence by Choice’ Postdoctoral Programme in Life
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publication record in reputable peer-reviewed journals is highly desirable. Proficiency in programming, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet
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measurements in animals and programming with Python/Matlab is a meritorious achievement. Documented experience with calcium imaging and/or optogenetics, as well as behavioral measurements is particularly
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and independently plan scientific research, as well as collaborate with other project members. Excellent proficiency in English, both oral and written. Meriting Qualifications: Experience in
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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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injection, organ/blood collection etc.) Proficiency in Python or R for bioinformatic analysis Strong scientific communication skills in English, both oral and written Meritorious for the position: Experience
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. The doctoral degree should be in a subject relevant to the project, such as physics. Fluency in English, both in oral and written forms, is mandatory. The candidate should have a strong interest in
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excellent skills in modern computer programming languages such as C++, Python, MATLAB or R. We look for candidates who enjoy collaborating in interdisciplinary teams and are good at communicating science in
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cells and proteins. Our research is in close collaboration with academy, health care and industry both nationally and internationally. Duties Within this project you will plan, design and perform research
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cell programming applications. This position involves both experimental and computational work. The experimental work includes the use of CRISPR-based transcriptional control, single-cell omics