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BSc, MSc or PhD degree or equivalent in mechanical, manufacturing, electronic, robotic control engineering or any relevant discipline. You will have regular interaction and collaborate closely with
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is to develop a new curvilinear slicing software and control software and integrate them with a numerical model to build a digital twin of the robotic printing process. Your primary responsibilities
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mitochondrial diseases or mitochondrial dysfunction in metabolic disease. Mitochondrial protein import, organelle proteostasis, or quality control. Functional genomics: CRISPR/Cas9 or base‑editing screens, high
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-doctoral researchers, as well as members of an international research network on the topics of the project Your profile: PhD in Sociology or a related discipline, completed or nearing completion Strong
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of Experimental Biology, PAS Researcher career profiles (R1-R4): R2 Field of science: Neuroscience Type of recruitment: NCN Maestro Requirements: Education: PhD in Neuroscience or Bioinformatics; Professional
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degree (PhD) in the humanities in archaeology or a related discipline; command of Polish (spoken and written); command of English at a minimum B2 level; experience working with KEZA data and knowledge
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software development for astronomy-related projects, preferably in data flow systems or data reduction pipelines. Experience with the ESO DFS software stack, such as EDPS, EsoRex, CPL, etc. A PhD / Doctoral
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Background in statistics and deep learning; Excellent programming skills in python; Familiarity with Unix command-line tools; Excellent communication and organizational skills; Ability to work independently
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
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on developing TFLN and TFLT photonic integrated circuit (PIC) platforms for classical and quantum information processing. Our approach involves cavity-based components with electrically controllable cavity