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/thesis: Industry-/collaboration PhD student in optimized off-road driving in forests Research subject: Soil science Description: We are looking for an industry/collaboration-based PhD student to develop a
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genetic data (e.g. from genotyping). You will implement and evaluate selection methods: Test and optimize new methods for precision breeding in practical or simulated improvement programs. You will work
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successful candidate should have practical experience with metabarcoding of aquatic samples, experience in DNA extraction from challenging samples and PCR optimization. Further, the candidate should possess a
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to test various adjustments in the indoor diet in order to alleviate metabolic challenges during transition to pasture. The aim is to optimize pasture utilisation and milk production in part-time
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proteins, significantly advancing our ability to refine and optimize spinning methods beyond what was previously possible. Now, we seek a talented research assistant to help create the world's first
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extensive expertise in technology and systems for sustainable production of food and bioenergy, including optimal nutrition circuits and logistics systems. Within the field of methodologies, we have extensive