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(Aktualisiert 2021-01-05)Data scientist
København, Danmark
Einheimische Danish, English, Mittelstufe German
- python
- Machine learning
- Data science
Fähigkeiten (18)
ALGORITHMS
BIOMEDICAL
Pytorch
MRI
Deep Learning
Machine Learning
IMAGING
TENSORFLOW
INVOICES
Python
CSI
METRICS
ADOBE INDESIGN
MICROSOFT OFFICE
INDESIGN
KERAS
MATLAB
INTRANET
Berufserfahrung
Deep Learning Research Specialist, Visiopharm, Application Development
2019-01 - 2020-01
-Design deep learning algorithms applied on digital histopathological images like hematoxilin & eosin (H&E) and flourescent whole slide images (WSI).
-Research in unsupervised deep learning algorithms
-Collaborate with customers to achieve state of the art solutions
-Evaluate image analysis algorithms, using relevant statistic tools and metrics
-Develop deep learning based automatic scoring of nonalcoholic fatty liver disease (NAFLD) on H&E WSI.
-Develop deep learning based quantification of lesions and abnormalities on rat kidney H&E WSI
-Research in unsupervised deep learning algorithms
-Collaborate with customers to achieve state of the art solutions
-Evaluate image analysis algorithms, using relevant statistic tools and metrics
-Develop deep learning based automatic scoring of nonalcoholic fatty liver disease (NAFLD) on H&E WSI.
-Develop deep learning based quantification of lesions and abnormalities on rat kidney H&E WSI
Research Assistant, Novo Nordisk Foundation, Center
Protein Research
2020-01 - 2020-01
Disease
Systems Biology, University of Copenhagen.
-Prepare and preprocess large scale medical images.
-Carrying out literature review of machine learning applied in ischemic heart disease.
-Build machine learning model for disease quantification and diagnosis in coronary angiography images.
-Study of novel disease mechanisms using machine learning.
-Research in disease stratification using machine learning.
-Research in survival modelling using machine learning.
Systems Biology, University of Copenhagen.
-Prepare and preprocess large scale medical images.
-Carrying out literature review of machine learning applied in ischemic heart disease.
-Build machine learning model for disease quantification and diagnosis in coronary angiography images.
-Study of novel disease mechanisms using machine learning.
-Research in disease stratification using machine learning.
-Research in survival modelling using machine learning.
Data Scientist, Visma Enterprise
Visma Machine Learning A/S
2020-01 - 2020-01
Develop machine learning models and tools for automatic information extraction on receipts and invoices.
Research Student Assistant, Rigshopitalet
Department of Clinical
2016-01 - 2019-01
physiology, nu-
clear medicine and PET.
-Research in MRI, hyperpolarized CSI-MRI, PET and multimodal imaging.
-Develop programs for research and diagnosis.
-Develop image registration tools for MRI and CT.
clear medicine and PET.
-Research in MRI, hyperpolarized CSI-MRI, PET and multimodal imaging.
-Develop programs for research and diagnosis.
-Develop image registration tools for MRI and CT.
Student Assistant, Novo Nordisk, Research and Development, Academic Partnerships
2014-01 - 2015-01
-Develop presentations for Head of Academic Partnerships and layout in compliance with Novo Nordisk general
standards
-Contribute to the web page and Novo Nordisk intranet
standards
-Contribute to the web page and Novo Nordisk intranet
Akademischer Hintergrund
MSc in Biomedical Engineering
Technical University of Denmark & University of Copenhagen
2016-01 - 2019-01
BSc in Biomedical Engineering
Technical University of Denmark & University of Copenhagen
2012-01 - 2015-01
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