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, programmering och biologi krävs. Den sökande behöver dokumenterad erfarenhet av att arbeta med encelliga och/eller spatial transkriptomikdata. Kandidaten måste ha goda kunskaper i R- eller Python-programmering
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of materials from a student perspective. implementing examples and solutions in programming languages (e.g., Python). learning and applying new technologies for interactive web-based tutorials (e.g
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. Preferred Qualifications Knowledge of 4D Flow MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in MATLAB and Python. Experience in systems biology
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-cycle credits, are also eligible. Good knowledge of Python programming. Preferred qualifications Good collaborative abilities Independence in work Good social and communication skills Awareness of
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data analysis (DeSeq2) Programming in R, python, SQL and bash 3D tissue engineering Good knowledge English (written and spoken) Experience in 3D mesenchymal cell culture, engineering of cartilage and
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university studies. Other merits Level of skill and experience in data analysis software such as Python, R or Matlab. Knowledge of forest ecology and dynamics Evidence of ability to work independently
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conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure. You will work closely with other members of
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competence. Experience with hands-on prototyping and experimental work. Experience with 3D printing, fabrication, or workshop tools. Python programming skills. Ability to work independently
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(Python and R for using the tracking software and data produced) abilities, and a publication record demonstrating excellence in these key skills. Excellent written and oral communication skills are
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statistical programming in R or Python is desirable but not required. The application should include a brief description of your research interests and relevant experience, a CV, copies of degree