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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 5 days ago
LevelPhD or equivalent Specific Requirements PhD degree in computer science or a related field; programming skills in Python; experience with data visualization and human-centered computing; experience with
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FieldPhysics » Solid state physicsEducation LevelMaster Degree or equivalent Skills/Qualifications Profile of Candidates/Requirements: A Master's degree or equivalent in a related field. Proficiency in Python
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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good understanding of multimodal AI and Vision-Language Models, solid programming skills, particularly in Python, with experience in frameworks such as PyTorch or TensorFlow, strong scientific writing
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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FieldPhysics » Chemical physicsEducation LevelPhD or equivalent Skills/Qualifications Profile of Candidates/Requirements: A Ph.D. or equivalent in a related field. Proficiency in Python programming. Deep
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Qualifications* Experience with mass spectrometry (especially DIA) and proteomics applications. Strong programming skills (Python, Java) with proficiency in a Linux environment. Experience with computational
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, LLM, Stata, Python, or R; (f) have track record of publications in high-quality international journals or demonstrated potential for future publications; and (g) have experience in collaborative
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(required) Quantitative skills in time‑series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (Required) Field experience (desired) Excellent English
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analysis algorithms using Python and databases. 3) Prototyping and experimental testing: implementation of prototypes of electronic light sensor devices and conducting experimental tests of the indoor