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Field
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analysis in Python is advantageous Previous experience with imaging (especially computed tomography) and/or image analysis is advantageous Excellent communication skills in English (oral and written) are a
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competencies and skills within programming and statistical analyses (e.g., in Python, R, or STATA) are a requirement. A Background/knowledge in media technology is a requirement. The applicant must be able
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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C
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the context of type 1 diabetes. Essential Master's in bioinformatics, data science, biomedicine, bioengineering, biotechnology or related fields Programming experience in Python and/or R Excellent
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and communication skills, experience working with data in either R or Python, a medical degree, experience in functional genomic analyses, and experience working with people with lived experience in a
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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the U.S Experience working with spatial data and machine learning models. Strong knowledge of programming languages, such as Python, R . Demonstrated skills in scientific writing, publications, and
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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, multiphase flows, or similar areas. A deep understanding of the physics and dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent