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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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, transcriptomics, bioinformatics, and advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive
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during the cellular response to DNA damage and how these processes safeguard genome and epigenome integrity. The successful candidate will combine cell biology, biochemistry, high-content imaging, and
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experiments; collecting data on crop growth, botanical composition, yield, forage quality and related plant and environmental variables; processing and statistically analysing experimental data; contributing
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 28 days ago
insufficiently established, and emerging modalities capturing processes upstream of atrophy require validation. This PhD project uses multimodal neuroimaging to decipher early neurodegenerative disease across
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strong interest in plant molecular biology and live-cell imaging who is enthusiastic about developing new experimental approaches. We expect the candidate to hold an academic background in Plant Biology
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is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels