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a sound reputation in the research domains of landslides, “human impact” on geosystems and spatial modeling of geomorphic processes as well as in the applied research in the thematic areas global
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and genetically manipulating non-model organisms • Experience in genetics and cloning • Experience with advanced bioinformatics tools. • High ability to express yourself both orally and in
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professional development Fixed-term employment contract and fair, transparent salary according to the collective agreement Model 2: The contract term upon employment is 4 years. Initially limited to 1.5 years
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professional development Fixed-term employment contract and fair, transparent salary according to the collective agreement Model 2: The contract term upon employment is 4 years. Initially limited to 1.5 years
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professional development Fixed-term employment contract and fair, transparent salary according to the collective agreement Model 2: The contract term upon employment is 4 years. Initially limited to 1.5 years
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modeling approaches for metabolic metabolism and microbial communities. Familiarity with recent developments in metagenomics analysis and metabolic network reconstruction. Experience in microbial metabolism
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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-based and aircraft experiments with innovative modelling to study the fundamental physical and chemical properties of aerosol particles and clouds. Current research focuses on related but different areas
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-sophisticated laboratory, ground-based and aircraft experiments with innovative modelling to study the fundamental physical and chemical properties of aerosol particles and clouds. Current research focuses