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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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in the analysis and interpretation of molecular and biological data, including changes in gene expression and molecular pathways in response to treatment; independent planning and execution
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journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic
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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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of researchers. The end of data taking being scheduled for January 2027, the student will make a significant contribution into data analysis toward the publication of the final results. The work will
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research environment. You also have: A successfully completed MSc degree in plant sciences, bioinformatics, plant genomics or a related field Excellent data analysis skills, both for bioinformatic and
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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMedical sciencesYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work
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of disruptive behaviour disorders as a mental health issue and can accurately identify/diagnose these disorders, and analysis of longitudinal cohort data to examine mental health trajectories in children and
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design, vector network analysis or oscilloscope measurements is an advantage. The ability to combine theoretical modelling with careful laboratory work and quantitative data analysis. Your profile for PhD
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FieldChemistry » Organic chemistryEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelGood Additional Information Website for additional job details http