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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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international conferences and journals, experience in publishing peer-review journal papers is the preference BSc/MSc thesis on topics like thermal energy storage, energy systems analysis, solar heating, domestic
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optimization. We are looking for a candidate who is motivated by both technical curiosity and making a real-world impact. Ideally, you: Have experience with AI models (e.g., graph neural networks, supervised
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background in experimental microbiology and has laboratory experience in e.g., minimum inhibitory concentration (MIC) assays, molecular techniques (qPCR and dPCR), and fluorescence microscopy. You are expected
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points) or a similar degree with an academic level equivalent to a two-year master's degree. Key Selection Criteria Hands-on experience in Synthetic Biology and Genetic Engineering is mandatory. Knowledge
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• Experience in programming and deep learning frameworks • A creative mindset and curiosity to research and develop new solutions with highly skilled colleagues • Strong interest in XAI • Willingness
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, longer-term epistemic capacities through hands-on, situated experiences. Central to the project is the integration of these technologies into real classroom and laboratory settings, ensuring contextual
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
communication skills. For consideration, applicants must have: A recent Master’s degree in biochemistry, protein science/proteomics, analytical biochemistry or a related field Experience in experimental protein
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architectures. Add some more digital skills Experience with EDA tools such as Cadence Virtuoso, Spectre, or Mentor Graphics. Strong analytical and problem-solving skills, with the ability to work independently
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, experience in working with cell cultures or in vitro test and/or the Environmental Assessment of Chemicals. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level