50 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"O.P" positions at University of Lund
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science conducted with LCLS-II. In addition, we plan to collect cosmics data with a prototype of the hadronic calorimeter. During the first 1-2 years, roughly, this project will be focused on the gathering
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interdisciplinary project involving programming and modeling. In addition, the project includes collaborations with researchers in other disciplines, including biomathematics, biostatistics, and molecular biology
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efforts within NanoLund to build up a program within neuromorphic (and other types of non-von Neumann) computing. Work duties The main task is to conduct research. Teaching may also be included in
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proficiency in ecosystem modelling (LPJ-GUESS) and programming languages: R, Python A publication record commensurate with the career stage Proficiency in both written and spoken English Excellent written and
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subject is divided into a range of sub-disciplines and specializations. The PhD program at the Department of Biology includes many of these specializations, from molecular biology to applied ecology, from
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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. Minimum 2 years of professional programming experience, with proficiency in Python 3 and/or JavaScript. Experience with frontend frameworks and/or backend development. Familiarity with infrastructure-as
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administrative tasks. Qualifications Required qualifications: Master’s degree in Molecular Biology Experience in cell culture Experience in cancer-related research Ability to plan experiments, work independently
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-authorship on at least three articles involving multimodal single-cell analysis of leukemia cells and bioinformatic analysis Strong programming skills (e.g., R and Seurat) Merits: Particularly meritorious is
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to develop and carry out high-quality research. Teaching skills. The main criterion for a postdoctoral fellowship is research expertise. Only applicants whose research plan and earlier work can strengthen the