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, understand and analyze amicable and flexible future inter-cooperations between local communities and national authorities. Requirements The successful candidate has a PhD in Arctic Climatology, Sea-Ice
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: PhD in computer science, machine learning, operations research, transportation engineering or a related field. Programming skills in C/C++ and Python, along with experience working with simulation
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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence
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the section Ingredient and Dairy Technology. Further information on the Department is linked at https://food.ku.dk/english/ . Inquiries about the position can be made to Tenure Track Assistant Professor Norbert
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk. Technology for people
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food innovation. The project focuses on improving the use of underutilized plant-based raw materials (UPRM) through fermentation with edible mushroom mycelium. By harnessing the unique ability