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for plants and Physics. A background in plant ecophysiology would be ideal, but is not required. · You have programming experience, knowledge of Python and Git is a plus. · You have a
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Engineering, or Electrical Engineering or Computer Science/engineering with a focus on network communications Good understanding of the 3GPP 5G radio access and core network protocols Proficiency in multiple
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, statistics or similar field. Experience in the following topics is required: Proficiency in scripting language (Python or R) and maintaining code repositories In-depth bioinformatics experience working with
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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Composer Studio. · Solid understanding of programming languages, particularly C# and Python. · Proficient in control systems design and analysis using MATLAB. · Excellent communication
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the Karolinska Neuroimmunology and Multiple Sclerosis (KNIMS) division which gathers around 40 researchers working on different aspects of the pathogenesis of Multiple Sclerosis (MS) and other neurodegenerative
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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic