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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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, including knowledge of statistical modelling and R - the ability to acquire external research funding Specific Requirements - programming skills: - R - experience in analysis of ecological data, preferably
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on mitochondrial biology will be an advantage but is not mandatory. Don't worry; we will be happy to support and teach you. [1] This period may be extended by a time of long-term (in excess of 90 days) documented
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." LanguagesENGLISHLevelExcellent Additional Information Benefits an atmosphere of respect and cooperation supporting employees with disabilities flexible working hours funding for language learning co-financing of training and
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funding for language learning co-financing of training and courses additional days off for education life insurance pension plan savings and investment fund preferential loans additional social benefits
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on mitochondrial biology will be an advantage but is not mandatory. Don't worry; we will be happy to support and teach you. [1] This period may be extended by a time of long-term (in excess of 90 days) documented
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hydrogen-ammonia co-combustion using experimental techniques, high-fidelity numerical simulations, and machine learning” The competition is open to applicants who meet the detailed requirements set out in
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spoken and written. A record of academic achievements, particularly publications; Interest in the project’s research topics; Experience with MAXQDA software or willingness to acquire such skills. Upon
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, shall be included in the person’s employment period in order for that person to acquire employee rights (e.g. the specific amount of holiday, severance pay, seniority bonus etc.). It includes not only
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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and