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| Course title | City | Start date | Credits |
|---|---|---|---|
| 4th symposium on the advances in biomedical engineering and ... | Aalborg | December 2025 | 1,5 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to 4th symposium on the advances in biomedical engineering and neuroscienceProgram: BEN ***mandatory course***Description:The course has a focus on disseminating the most relevant and recent achievements within biomedical and engineering |
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| Advanced characterization of Extracellular Vesicles | Aalborg | November 2025 | 3 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to Advanced characterization of Extracellular VesiclesDescription:Aim: To provide theoretical knowledge on extracellular vesicles (EV), hands-on experience with advanced methods for molecular characterization, and insight into their clin |
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| Advances in the neural control of movements (2025) | Aalborg | October 2025 | 2 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to Advances in the neural control of movements (2025)Program: BEN (also relevant for B, HES)Description: Controlling human movement involves intrinsic neurophysiological features that modulate motor actions. Motor actions occur pred |
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| ANRES 2025 – 12th Aalborg symposium on the advances in neuro... | Aalborg | October 2025 | 1 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to ANRES 2025 – 12th Aalborg symposium on the advances in neuro-physiology and neural rehabilitation engineering of movementProgram: BEN (also relevant for B, CPM, CSLTM, HCHPO, HES)Description: The neurophysiology of movement |
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| Clinical cancer research – from laboratory to bedside 2024 | Skørping | October 2025 | 2,25 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to clinical cancer research – from laboratory to bedsideProgram: BDescription: This PhD course is offered by the Doctoral School of Medicine, Biomedical Science and Technology, Aalborg University and Clinical Cancer Research Center |
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| Components of causal inference with focus on assumptions and... | Gistrup | November 2025 | 2,5 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to Components of causal inference with focus on assumptions and confounding control (2025)Program: Epidemiology & Biostatistics ***mandatory course **** Description: Purpose: You already know that establishing a c |
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| Disease-related malnutrition (2025) | Aalborg | November 2025 | 3 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to Disease-related malnutritionPhD Programme: Clinical Science and Laboratory and Translational Medicine (CSLTM)Description: Description: This PhD course aims at providing thorough, reflective, and reflexive knowledge on t |
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| Ethnography in health care sciences (2025) | Aalborg | September 2025 | 3 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to Ethnography in health care sciencesPhD Programme: Health Care, Health Promotion and Organizations (HCHPO)Description: Ethnographic research has become increasingly popular in health care sciences. This course provides a solid met |
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| Introduction to systematic reviews and Scoping reviews (2025... | Aalborg | September 2025 | 2 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to Introduction to systematic reviews and Scoping reviewsPhD Programme: Health Care, Health Promotion and Organizations (HCHPO)Description: The objective of this three-day methodological course is to provide the participants an intr |
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| Machine learning in health technology - from basic knowledge... | Aalborg | November 2025 | 2 ECTS |
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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University
Welcome to MACHINE LEARNING IN HEALTH TECHNOLOGY - FROM BASIC KNOWLEDGE TO APPLICATION OF MACHINE LEARNINGProgram: BENDescription: Do you want to get into machine learning but do not know where to start? This is a 3-day course with a p |
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