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Field
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design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on quality monitoring of food and/or agriculture products is highly desirable. Experience in electronic
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engineering, process engineering or a closely related field, demonstrated through publications. Experience of mass balances, flow simulation or separation and recovery techniques (e.g. distillation, membranes
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and interest in the position, including a description of how your experiences fit for working in the ongoing research project. A research plan (no more than three pages, references excluded
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), statistical analysis of LHC data or beyond-the-Standard-Model phenomenology, is meriting. Experience with large-scale training on GPU and HPC systems, with design of experiments and active learning, with open
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through publications. Experience of analytical methods such as elemental analysis, spectroscopy (e.g. FTIR), chromatography or thermal analysis (e.g. DSC or calorimetry). Very good command of English
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. Experience in any of the following counts as a strong merit: causal inference with observational data, text as data, large language models, mechanistic interpretability, or semiparametric and design-based
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, yet many buffers are poorly designed to maintain key ecological functions, particularly under a changing climate. The project addresses three interlinked questions: 1) how climate-driven extremes affect
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scientific interests, and your motivation to apply for this position, A research plan, including motivation, presenting your ideas within the field (max 3 pages plus references), Curriculum vitae (CV
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
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with at least one engineering design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on quality monitoring of food and/or agriculture products is highly