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We offer you Interdisciplinary work in a highly collaborative environment A unique environment combining state-of-the-art ultrafast experiments at University of Applied Sci-ences and Arts
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, reading scientific literature, are eager to develop new skills, and thrive in an international, collaborative setting. A good sense of humour will help you feel at home in our team. You also bring: - a
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, interpersonal, and communication skills are required. Prior experience with experimental design, programming of behavioral tasks, and data analysis. Technical skills (e.g. Python, R, Unix) are also highly desired
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experiments using cancer and stromal cell models, including CRISPR/Cas9-based genetic approaches to investigate Cx43-dependent mechanisms. Establish and characterise tumour–stromal co-culture and 3D models
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at Research Assistant level, applicants should hold an appropriate degree and demonstrate relevant practical experimental experience. Knowledge, Skills and Experience Applicants should demonstrate: Practical
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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** with AI/ML approaches and data science, in particular as it relates to their application with experimental data and/or experimental optimization Significant*** experience in the preparation of scientific
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for a motivated and talented candidate with: • A Master's degree (or equivalent) in chemistry, biochemistry, nanoscience, physics, or a related field • Previous knowledge about nanopore experiments
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with experimental data and/or experimental optimization Significant*** experience in the preparation of scientific publications and new research proposals Recent* experience in mineral processing and
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, or a closely related field and with several years of experience and have research experience in at least one of: mechanistic or representational interpretability; model evaluation and benchmarking