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. We are committed to ensure that every person in the lab receives the training and mentoring they need, is successful, and feels valued. In addition, you will get the opportunity to experience and
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‑electron tomography (cryo‑ET) to study in situ amyloid deposition and amyloid–cell interactions in experimental models and human tissues. This project is part of the BE.Amycon VIB Grand Challenges initiative
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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to interrogate the complex genetic basis of these disorders. The lab has been supported by the ERC for the past 15 years. Now we are seeking a motivated and enthusiastic colleague with strong iPSC experience and
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: Proficient in Python. Machine Learning: Strong experience with frameworks like TensorFlow, Keras, or PyTorch. Preferred Skills: Experience with Explainable AI (e.g., SHAP, Integrated Gradients
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. YOUR PROFILE Ph.D. in life sciences (earned within the past 3 years). Required: experience with human cell line engineering; molecular biology expertise is a plus. Excellent English communication skills
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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motivated and enthusiastic colleague with strong iPSC experience and disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC
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field Proven ability to lead technically complex projects Practical experience in cryo-EM/cryo-ET and/or subtomogram averaging, or outstanding computational skills applied to imaging data
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, ability to critically discuss and present scientific results, and proficiency in English for oral and written communications. Experience with genome editing, bioinformatics (e.g. python, linux) and high