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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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. To achieve your goal, you will use different approaches, including but not limited to: RNA sequencing techniques (e.g. RNA-seq, TT-seq, PRO-seq); Proximity labeling approaches and pulldowns; Chromatin
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scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
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mathematical microbial kinetics models and quantitative risk assessments; develop user-friendly tools for quality and safety assessment of plant-based meat analogues; supervise BSc and MSc thesis research
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the PhD, having obtained a Master’s degree in a relevant field, such as AI, cognitive psychology, mathematics, physics, (computational) neuroscience, etc.. Terms and conditions The terms of employment
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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the computational imaging group at CWI, where you will have a chance to interact and collaborate with fellow PhD-students and research staff with a background in mathematics, computer science, and imaging science. It