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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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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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bachelor’s degrees and all corresponding transcripts (lists of courses taken during bachelor’s and M.Sc. studies). We welcome applicants with different backgrounds, experiences and perspectives - diversity
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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degrees and all corresponding transcripts (lists of courses taken during bachelor’s and M.Sc. studies). We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches
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are of particular merit: Experience with organic (bio)electronics, implant design, and/or conducting polymers (ideally all areas of expertise listed) Experience with protein chemistry and investigation of enzyme
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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
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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
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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