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experience in handling large metagenome datasets (first author publication/s in the topic are required). Relevant experience in R and/or python programming (eg. pipeline development for metagenomic data
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been completed earlier. Additional requirements Very good oral and written proficiency in English. Experience of programming, for example in Matlab, Python, Julia or R. Assessment criteria This is a
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experience with Python and C++. Knowledge of motion planning under uncertainty is considered an additional merit. The applicant should have strong collaborative skills, communicate research effectively in both
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to the subject area. The candidate’s doctoral degree should be primarily focused on computed tomography, image analysis or similar. Essential criteria are: Demonstrated experience in programming (e.g., Python, MATLAB
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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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of programming, for example in Matlab, Python, Julia or R. Assessment criteria This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the
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as Postdoctoral researcher. Experience with advanced DNA sequencing analysis, including: - Proficiency in computational skills including programming (e.g., bash, Python, R) and command-line interface
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for scientific research — demonstrated experience is a plus. Possess basic programming or data analysis skills (e.g., Python or R). Exhibit strong problem-solving skills, independence, and collaborative spirit
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, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R or Python) and familiarity with advanced analytical techniques (e.g., causal inference
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with high-performance cluster-based computing Competence in computational programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git