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Field
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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potential of classical and innovative fertility forecasting methods in the context of the Czech Republic Profile of the graduate In addition to the scientific and pedagogical pathway at universities, a
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 21 hours ago
that enables them to work on an innovative research topic and to develop and apply the scientific methods appropriate to their research topic. Course organisation During the three-year programme, doctoral
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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psychological methods or a related discipline. Experience coding in R and Python (or related computer programming languages). Excellent written and spoken command of both English and Dutch. What else do we offer
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Rigorous, organised and methodical Management and leadership skills Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7107-ANIFOR-019/Default.aspx Work Location(s) Number of offers
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and crucial source of evidence in policing, with an estimated 21 million cameras operating in the UK. Yet more than 80% of real-world footage is too poor in quality to support reliable person
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments