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Reflectance Spectroscopy (NIRS) as an inline method for determining feed structure in pellets, with the aim of achieving faster and more accurate analysis during feed production. In the first year, the focus
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of liposomal formulations.•LC-MS-based lipid or metabolomics analysis.•Regular contact with supervisors and other members of the laboratory including presentation of data at lab meetings.•Supervision of bachelor
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science » Programming Economics » Applied economics Mathematics » Applied mathematics Mathematics » Combinatorial analysis Technology » Transport technology Researcher Profile First Stage Researcher (R1) Application
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chemicals in an electrolyzer system. The student will carry out systematic experimental investigations, supported by theoretical analysis from collaborators, to design and develop multimetallic
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, or related fields Strong interest in quantitative methods and drug development Hands-on experience with modeling and simulation software tools (e.g., NONMEM, R) and statistical data analysis Programing skills
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communication skills in English.-A collaborative and curious mindset.-Experience with biological or solid-state nanopores, DNA nanotechnology, single-molecule microscopy, or programming/data analysis (e.g., Python
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PhD working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on analysis of time series data. The goal is to develop algorithms for detecting anomalies, discovering “motifs” (repeating patterns
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initiatives in function of advanced data analysis in the broad field of road safety research (with focus on, among others, regions, road types, road user categories and their interactions, assessment of road
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analysis, however, necessitate calculations for many parameter values, resulting in a curse of dimensionality. This problem can be solved by means of model order reduction methods such as Proper Generalized
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affected by warping, addressing both audio analysis and synthesis tasks. The methodological scope spans stochastic signal processing and machine learning, including hybrid physics‑guided and data‑driven