254 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Switzerland
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and why you would be a good candidate! Curriculum Vitae including your publication record and programming languages and frameworks you are familiar with. Links to code samples/open-source projects
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Zurich or another Swiss university Proven experience in software development Strong Python programming skills, with demonstrable experience in several of the following areas: GUI development CUDA for GPU
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graduate from architecture, civil engineering, mechanical engineering, or a related field with strong skills in digital fabrication, physical prototyping, and ideally good knowledge in programming Other
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) Workplace Workplace We offer
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experience with multiple programming languages Experience with plugin-based architectures is a strong advantage Familiarity in geometry processing, meshes and/or point clouds is an advantage Familiarity with
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and interdisciplinary teaching formats, particularly in behavioral research, reproductive and evolutionary biology, and the socioecology of power. The position will also contribute to programs in other
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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Researcher (Oberassistent) level (see Scientific Functions at ETH Zurich ). Further career progression to a permanent position is possible, and a career development plan with clear milestones and timelines
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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology