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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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program aimed at tackling one of the life science industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design
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translate fundamental insights in membrane technology into practical, impactful solutions. Responsibilities and qualifications Develop and optimize highly structured membranes for membrane distillation. Lead
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-based topology optimisation and de-homogenisation Adaptive meshing algorithms for topology optimization PDE-driven topology optimisation methods Research fund application Collaboration with industrial
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to enhance enzyme stability, recyclability, and catalytic efficiency, including advanced surface modifications, optimized support materials, and improved reactor designs. The Department of Chemical and
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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for Surface enhanced Raman Scattering (SERS). You will spearhead and coordinate our development and optimization of new SERS substrates as well as sample preparation of clinical samples that we receive from our
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tasks will consist of: Brainstorming and designing how to handle samples for multiple analysis. Optimization of protocols for tissue preparation before further analysis of disease mechanisms (and drug
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for the position. Knowledge of TSN or real-time networking. Experience with one or more of: combinatorial optimization algorithms, ML algorithms, timing analysis network calculus, real-time systems. Excellent