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control in the cultivation of grass seed. The project is funded by GUPD and Frøafgiftsfonden. Helping with computer vision tasks in other SDU UAS projects like WildDrone and GENIUS will also be part of
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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unit. Responsibilities include, but are not limited to: Cell-based in vitro research within pharmacology, and preferably experience with CRISPRi, RNA sequencing, proteomics, and/or bioinformatic
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in the fields of Biochemistry and Bioengineering with focus on biochemical processes in agricultural wastes and molecular level solutions to mitigate pollutions and emissions from agriculture. The main
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fields: Mechanical product development Integration of Computer Aided Design and Computer Aided Manufacturing in product development Finite Element Analysis of mechanical structures including joints and
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or more of the following fields within mechanical engineering: Material characterization, employing several measurement apparatuses like e.g. SEM or optical microscopy Material manufacturing processes
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responsible for the development, maintenance, and oversight of CPop’s data systems. You will ensure that data processes are secure, efficient, and compliant with GDPR and institutional policies, while
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information please contact Head of Department Kasper Hallenborg (email: hallenborg@mmmi.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Applicants
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Portfolio List of publications Shortlisting may be used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. The University