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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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meet the requirements for admission to the NV faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Competence in programming (e.g. Python or similar). Good oral and written presentation skills in
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Demonstrated programming skills in python Experience with machine learning / deep learning (e.g., deep neural networks) Ability to take responsibility and work independently within an interdisciplinary
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document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https://www.ntnu.edu/iv/doctoral-programme Strong background
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https
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, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis
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therapeutics. For more details see this review: https://doi.org/10.1016/j.trecan.2022.09.001 Please get in touch if you don’t have access to the review. The candidate will: Perform Oxford Nanopore sequencing
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at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT) familiarity with machine learning, data analytics, or deep learning keen interest in
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Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow) Demonstrated coding portfolio: GitHub link
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. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets or registry data is an advantage, but not necessary. • Fluent oral and written communication skills in English