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of oxygen in oxygen-depleted waters, so called dark oxygen production. Processes of this type were recently discovered in microbial cultures and could be important for microbial communities and element
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to broaden our understanding of what positive futures are imagined by actors in SMEs, and to develop a training that can be used by higher education institutions to guide them in the process of developing a
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Alipour (mial@mmmi.sdu.dk). If you experience technical problems with the online application process, please contact SDU’s HR support at hcm-support@sdu.dk . Application procedure Applicants are advised
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protected. The assessment process Applications will be assessed by an assessment committee and the applicant will receive the part of the evaluation that concerns him/her. The assessment report will
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process Applications will be assessed by an assessment committee and the applicant will receive the part of the evaluation that concerns him/her. The assessment report will subsequently be forwarded
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@mmmi.sdu.dk ). If you experience technical problems with the online application process, please contact SDU’s HR support at hcm-support@sdu.dk . Application procedure Applicants are advised to read the SDU
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operation are pivotal in laboratory environments; thus, guarantees for correct behavior despite uncertainties must be provided. This project will integrate visual sensing and force sensing to obtain effective
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other qualifications relevant to the position. Shortlisting may be used in the assessment process. Please note that only shortlisted applicants will receive an assessment. Read about shortlisting at SDU
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of the following topics: Electrical Bio-Impedance sensor development AI based signal processing Wearable sensor Algorithms Design and control of a miniaturized continuum robot Profile and requirements The candidate
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) Bayesian machine learning Robotics Control systems Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidates have experience with: Computer vision Experimental design