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proficiency in Python, R, or MATLAB. Experience with Deep Learning frameworks (PyTorch, TensorFlow) and LLM APIs is an asset. Communication: Fluent English skills, both written and spoken, with a demonstrated
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project management skills. Desirable Qualifications Experience coordinating a core facility or shared research infrastructure. Programming/scripting experience (e.g., Python, shell scripting) for workflow
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
Spectrometry data analysis: A strong background in mass spectrometry/proteomics data analysis is highly prioritized, including also programming skills in R and/or Python. Personal Competencies: Independence and
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motivated scientist with strong expertise in protein molecular modelling, protein science, biochemistry and programming in Python and usage of SnakeMake. The applicant should also have experience in working
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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computations using the Python-based Taskblaster workflow framework. CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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in DICOM format and applications in pathology are welcome. The applicant ideally has a track record in interdisciplinary collaborations. Solid experience in programming, mainly python is expected
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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure