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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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two-year master's degree (120 ECTS points) in Biotechnology/Systems Biology/Bioinformatics or a similar degree with an academic level equivalent to a two-year master's degree. We offer a supportive
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integrated with bioinformatics including large language models. The PhD scholarship includes an obligation for a 9 month research stay at the Chinese Academy of Sciences in Beijing, China integrated with
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ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
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well as the organic matter persistence. Responsibilities and qualifications Your tasks will be to: Use bioinformatic tools to mine metagenomic datasets for enzyme-specific sequences (oxidoreductases and/or hydrolases
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circuits for enhancing computing efficiency through parallelism. The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15
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parallelism. The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one research center
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integrated circuits for enhancing computing efficiency through parallelism. The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project
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hub in the context of metabolic diseases, such as MASLD and cardiovascular diseases. For this, we apply a range of single cell genomics technologies on clinical biopsies combined with bioinformatics
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of extracellular matrix (ECM) remodelling during wound healing. Yet, many proteolytic processes remain uncharacterized due to the complexity of the ECM and limitations in current detection strategies. Advances in