109 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at Nature Careers in Germany
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participants Apply advanced analytical methods for integrative multi-omics analyses Implement state-of-the-art statistical and computational techniques for disease prediction Leverage extensive, high-quality
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and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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program in Evolutionary Anthropology. The position offers substantial core funding to support an independent research group. Office and laboratory space will be provided both at Leipzig University and at
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communication skills in English are mandatory German speaking skills are not required This is a wet-lab position, so applicants with a purely (bio)informatics background will not be considered. WE OFFER: Salary
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Staff Service Support with the relocation and integration process in Germany Recreation 30 days annual leave, flexi days, plus public holidays Family Support On-site kindergarten, holiday care, care for
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BESSY II in Berlin-Adlershof. Key Requirements A Master's degree is required with a Master's thesis in experimental physics or equivalent. Desirable Experience in magnetization dynamics, ultrafast pump
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and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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technologies Preparing and supporting patent application documents Performing physics-based simulations to support process and device development Develop new application cases and proof-of-concept demonstrations
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), Mechanistic / Process-based modeling of biodiversity interactions in cropping systems (CP6). Though preference will be given to excellent candidates who contribute significantly to CP1, CP5, or CP6
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts