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investigate the use of visible, near-infrared, and short-wave infrared hyperspectral systems to improve forensic investigations and support evidence interpretation in both laboratory and field environments
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-reviewedjournalpublicationsand conference presentations. Your competencies We are seeking candidates who possess at least an MSc degree, preferably a PhD, inOcean Engineering, Offshore Engineering, Subsea Engineering, Naval
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means that after the application
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, cluster structures, flat surfaces, and spectral networks. The goal of the project is to build new far-reaching connections between algebraic geometry, dynamical systems, and mathematical physics using a
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. Once the recruitment process is completed each applicant will be notified of the outcome of their application. The expected starting date is February 1, 2027. Application due 30-09-2026 Where to apply
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recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means that after the application deadline, the head of
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
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statistical models to understand the ecological and phylogenetic factors playing a role in the evolution of the host-microbiome systems. The project will use the vast number of paired host and microbiome
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classical social science methods. Research projects may address national or international challenges and should employ appropriate qualitative and/or quantitative approaches. The project should demonstrate