🦠 Biology Webinar: Microlearning Strategies for Cell & Molecular Biology
📢 Learn how to use short videos & quizzes to break complex topics into manageable units, reducing cognitive overload & boosting concept retention.
🔗 Register now: https://t.co/PRu8SAJO5v
My lab has postdoc openings in the following areas: 1) Structural biology and single molecule biophysics; 2) Developing novel genome editing methods; and 3) Protein and RNA engineering. Please share the info with your trainees, and RT please. 🙏
https://t.co/JipaSujghu
Postdoctoral Research Fellow-Agronomy, Food Security and Underutilized Crops.🌽🫑🫒
💻Inquiries and submission of applications: Prof. Nomali Ngobese- [email protected]
📩Application form- Follow the link:
https://t.co/5ycdbcHk6n
📅Closing date: 30 April 2025
Epidemiological and Clinical Features of Rickettsial Infection Among Australian Individuals from 2015 to 2018 Click the link below to read this #open_access article. #IDTwitter#Medtwitter https://t.co/qK14wMYOFb
The NRF has the following four job opportunities available in Cape Town:
· Research Assistant: Ocean20 (NRF-SAEON)
· Linux System Administrator (NRF-SAEON)
· Electronics Engineer (NRF-SAAO)
· Project Manager (NRF-iThemba LABS)
To learn more/apply: https://t.co/cHxATzAXgu
A look at Tamia Carvalho confronting her boyfriend of 6 months Donell Mbele who raped her on the night of the 14th December 2024 and again on the 15th December 2024.
From the #phytools blog archive, Mk vs. Γ vs. hidden-rates model for regime shifts on the tree in the evolution of a discrete phenotypic trait: https://t.co/Pi0OXuqStg. 1/2
Statistical tests like P-values, confidence intervals, and power are crucial in research but are often misunderstood. Misinterpretations can lead to wrong conclusions and affect scientific progress.
P-values don’t tell you the probability that your hypothesis is true. Instead, they show how likely your data is if the hypothesis and all other model assumptions are correct. A small P-value means your data is unusual under the hypothesis.
Confidence intervals are not the probability of containing the true effect. A 95% confidence interval means that if you repeated the study many times, 95% of the intervals would include the true effect. It’s about long-term behavior, not single cases.
Power is about study design, not about interpreting results. It’s the chance to detect an effect if there is one before you do the study. After the study, power does not tell you the probability of being right or wrong.
Common mistakes include labeling results as "significant" or "not" based on P=0.05, thinking P<0.05 means the effect is important, and ignoring confidence intervals. These errors can mislead and undermine research findings.
To improve: Focus on effect sizes and confidence intervals, avoid relying only on P-values, carefully check your model assumptions, and report exact P-values and estimates. This leads to clearer and more accurate scientific conclusions.
#Statistics #DataScience #Research #Science
Free scientific illustrations for biologists! 😍
@NIH has released a library of 500+ free scientific illustrations to create figures, presentations, and illustrations!
all freely available in the public domain.
Retweet and spread the message!
https://t.co/p1bD1kxO7H
Are Rattus rattus fleas invasive? Evaluation of flea communities in invasive and native rodents in Chile.
See our #EarlyView#ShortCommunication from @NaturaUdec⬇️
https://t.co/zeN3Nbcngd
@WileyEcolEvol @RoyEntSoc
Read our #EarlyView research:
Sigmodontinae #rodents as potential reservoirs for #Borrelia burgdorferi sensu lato in the Delta and Paraná Islands ecoregion, #Argentina
https://t.co/3xwksF0Dgi
@WileyEcolEvol #LymeDisease#vectors
Photo credit: Pablo Martin Beldomenico