777 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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degree with 0-2 years experience) in Bioinformatics, Computational Biology, or a related field. Experience in at least one programming language (Python preferred) and statistical package (R
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simulation models Programming skills (e.g. Matlab or Python) Willingness to supervise young scientists Enthusiasm and enjoyment of working independently on developing fresh ideas and solutions Good
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neuronal differentiation (preferred)Experience with cellular phenotyping, including lysosomal and/or mitochondrial profiling (advantage)Programming skills in R and/or PythonFamiliarity with bioinformatic
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opportunities for everyone: We look forward to diverse personalities in the team! How to apply: Application documents should include: letter of motivation including time plan for doctoral thesis milestones
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, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to
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pediatric assessment, teaching and decision-making skills. This is performed in accordance with physician orders and plan of care under the direction of the Administrator or designee. The Home Health RN
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programs (e.g. amino acid and lipid metabolism), signaling pathways (e.g. mTOR and nutrient signaling), and systems-level regulatory networks that regulate basic T cell and dendritic cell biology and
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with large data sets Good programming skills Excellent communication and interpersonal skills Very good command of English Experience in writing scientific publications Knowledge of the German language
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journals. Proven experience with large-scale genomics or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine
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cultivation plan generation, pest/disease Q&A, market forecast, policy impact analysis. Create an open platform for agricultural large models: supporting plugin invocation, LoRA/QLoRA fine-tuning, federated