274 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "J" "U.S" Postdoctoral positions at Nature Careers
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
. Further details: As a Helmholtz Institute, the HIFMB contributes to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular topic (6, Marine and
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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relative to own or related projects when requested; Contributing to the Centre’s training program by teaching and tutoring on internal and external workshops (online and in person); Contributing
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intense mutual collaboration Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful and appreciative work environment within a diverse team For inquiries
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to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Career development in a
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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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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