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biochemistry, biotechnology, molecular biology, analytical chemistry, biomedical engineering, or a related life science/medical technology discipline. Experience with biomarker detection techniques, such as
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for the following qualifications: Professional qualifications relevant to the PhD project Relevant publications Relevant work experience Other relevant professional activities Curious mind-set with a strong interest
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forward to receiving your application and potentially welcoming you to our center. Head of center, Professor, Bo Nørregaard Jørgensen If you experience technical problems, please contact hcm-support@sdu.dk
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motivated candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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: Solid background in analog/mixed-signal ultra low power CMOS circuit design, including experience with amplifiers, data converters, and bias circuits. Experience with industry-standard EDA tools such as
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) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving abilities Interest in power and energy systems Excellent English communication skills and a collaborative mindset to
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experience with carbohydrate-active enzymes is prioritized. You must be well organized, structured, self-driven and enjoy interacting and collaborating with colleagues including PhD students, postdocs, and you
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circular, economically viable future for packaging. Through SSbD assessment in collaboration with the consortium, experimental work and risk modeling, you will help uncover the hotspots in the production
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for research A relevant background in microbiology, molecular biology, animal physiology, or a related field Experience in chemical, microbiological, and/or molecular laboratory work Experience in experimental