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Job Description Are you a skillful and ambitious PhD graduate interested in kicking off your academic career in a renowned research group leading in the field of thermodynamics with a strong
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Collaboration with computational protein design partners and clinical reproductive biology collaborators Supervision of MSc and BSc students and contribution to publications You must have: A PhD degree in
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qualifications: As a formal qualification, you must have a master’s degree or PhD degree (or equivalent) in engineering or equivalent within the area of bioinformatics, computational biology, or a related field
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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and tools. Experience in teaching advanced and fundamental science classes for university students. Experience in collaborations and bringing new ideas. As a formal qualification, you must hold a PhD
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Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
of complex mixtures, including experimental measurement techniques and/or computational methods. As a formal qualification, you must hold a PhD degree (or equivalent) in chemistry, chemical engineering
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holding a PhD in chemistry, materials science, engineering, or a related discipline, with a proven track record of high-quality, independent research. Responsibilities: Design and carry out organic and
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sustainable biocatalysis.You will be part of a collaborative team of PhD students and postdocs skilled in enzyme expression and characterization, carbohydrate analytics, computational modelling of enzymes, and
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profile You have PhD in data science, with a background or familiarity with agricultural sciences, agroecology, or agronomy. You have proven expertise in applying data-science methods and principles