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multiple subfields represented, including animal behaviour, evolution, ecology, genetics, zoology, conservation, microbiology and animal welfare. See: https://liu.se/en/organisation/liu/ifm/biolo
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research, undergraduate and postgraduate education within the field of biology, with multiple subfields represented, including animal behaviour, evolution, ecology, genetics, zoology, conservation
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms
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different environments, with experiences from multiple academic institutions previous experience supervising colleagues or team members Proficiency in English, both spoken and written, is a requirement for
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein
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molecular biology with a focus in genetics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained corresponding knowledge in
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culture, drug treatments, genetic manipulation, immunoblots, immunofluorescence, and metaphase spreads analysis. As postdoc, you will principally carry out research. A certain amount of teaching may be part