10 bayesian-inference-tracking Postdoctoral research jobs at Technical University of Denmark
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for screening purposes and cell-based therapies. We will develop methods for modelling missing not at random (MNAR) observations and quantifying uncertainty using Bayesian methods and deep learning architectures
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. Applicants with interests and experience in any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, ALMA spectral data, and statistical inference
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holding a PhD in chemistry, materials science, engineering, or a related discipline, with a proven track record of high-quality, independent research. Responsibilities: Design and carry out organic and
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) Track record of high-quality publications Experience in grant writing or participation in funded projects is an advantage Ability to work independently and collaboratively in an international environment
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the relevant union. The period of employment is 3 years. With the possibility for extension or conversion to a Tenure Track Position. The position is full-time, and the expected starting date is 1 May 2026 You
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for interdisciplinary collaboration Excellent communication and teamwork abilities Motivation to supervise and mentor students A track record in publication of high-quality research As a formal qualification, you must
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Job Description The Bioconversions group at DTU Chemical Engineering invites for applications for a position as a Post-Doctoral Researcher with a proven track record in the fields of anaerobic
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related frameworks. IoT/sensing devices tracking construction site resources. Data integration and digital construction workflows, incl. digital twins, information backbones, digital building logbooks
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. Conduct geospatial analysis for habitat classification, biodiversity assessment and restoration tracking. Lead the preparation and submission of scientific manuscripts for peer-reviewed journals (ISI
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT